Role & responsibilities Responsible for day - to - day experimental , work for the development of new processes, Experimental data generation data analysis , and daily documentation, Significant experience in executing multistep reactions , interpreting analytical data , conducting literature search & troubleshooting, In - depth knowledge regarding interpretation . Preferred candidate profile Minimum 3 to 8 years of experience required Perks and benefits Best in the Industry

In your new role you will: Defining, designing, and implementing very complex logic blocks. Performing architecture analysis and feasibility for these complex blocks. Working with the SoC lead for full chip implementation from launch to production . Performing RTL design, synthesis and DFT strategy, clocking strategy, validation and verification support. Utilizing industry standards and proprietary tools and methodologies for design, chip integration and design for test. Supporting cross functional teams, including product and test engineering, chip integration, circuit design, verification and validation, in taking SoC into production. Participating in customer design reviews Participate in detailed planning and monitoring to deliver on time milestones. Mentor and develop junior engineers.

Job Profile Execution of multiple step synthesis, Research and Development, Process optimisation,Scale up and co - ordination with pilot plant Role & responsibilities To systematically undertake process development activities,to interpret analytical data,identification of impurities based on acquired fundamental knowledge. 1.Design of experiments, 2.Record keeping, 3.Need based support to scale-up on new products, 4.Closely liaison with QC, 5.To follow up with purchase and stores, 6.Maintenance of lab 7.Adherence of safety system being practised in the lab. Preferred candidate profile M.Sc Chemistry ,Organic Chemistry 3 - 7 years of experience process development and scale up activities. Interested Candidate can share their resume to STK3@sanmargroup.com

Role & responsibilities Job Description/Responsibility for 5-7 Years Experience candidate (Designation: Sr. Research Executive-SRE) Candidate must have throughout experience in Peptide process development Must be familiar with the designing of peptide drug substances route of synthesis Sound knowledge about the capping/cyclization of peptide chain Knowledge about protection and Deprotection of amino acids Knowledge about global deprotection of peptide form Peptidyl resin Must be familiar about the isolation of crude peptide Knowledge about the critical process parameters of solid phase Peptide synthesis Basic knowledge about purification techniques for crude Peptide 9.Able to handle 100 mm DAC as on required Must be familiar with peptide synthesis process scale up Job Description/Responsibility for 2-3 Years Experience candidate (Designation: Sr. Research Associate-SRA or Research Executive-RE) Candidate must have experience in Peptide process development Able to perform experiment as suggested by team leader Knowledge about protection and Deprotection of amino acids Knowledge about global deprotection of peptide form Peptidyl resin Must be familiar about the isolation of crude peptide Knowledge about the critical process parameters of solid phase Peptide synthesis Basic knowledge about purification techniques for crude Peptide Job Description/Responsibility for– 2-4 Years Experience candidate (Designation: Sr. Research Associate-SRA or Research Executive-RE) Responsible for Column packing and un-packing activity for purification trials Responsible for Column Performance Test (CPT) Peptide & API Purification method development on preparative HPLC Perform downstream-Purification of Crude Peptide on 100 mm DAC Define pooling strategy/control strategy for Purification method Preform salt exchange activity on 100 mm DAC Generate report for Design of Experiment (DoE) for Purification Co-work for solid phase up-stream synthesis Perform and optimization of global deprotection of Peptidyl resin

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: The ideal candidate should leverage his knowledge and experience to provide leadership, technical guidance, and execution of silicon validation of ARM or DSP based multiple SOC projects and platforms Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skills Experience in Hifi Processor, Soundwire interface, ANC, DMA, I2S verification experience is a Plus. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. 12-15 years of experience with a Bachelor's/ Masters degree in Electrical/ Electronics engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. We are hiring across mutliple roles in the below domain: 1. Physical Design 2.RTL Design 3. Design Verification 4. STA/ Synthesis 5. DFT 6. FPGA Emulation 7. Validation Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. Job Overview: Person will be responsible for developing next generation SoCs for mobile products and its adjacencies. The role will require the candidate to understand and work on all aspects of VLSI development from micro architecture and platform architecture, front end design, and design convergence. The person is also responsible for overseeing physical design and verification aspects. About The Role :: - Full chip design for multi million gates SoC- Digital design and development (RTL)- Good understanding of the design convergence cycle in terms of architecture, micro-architecture, synthesis, timing closure and verification- Manage IP dependencies, planning and tracking of all front end design related tasks- Driving the project milestones across the design, verification and physical implementations Minimum Qualifications: - Minimum 15 years of solid experience SoC design- Developing architecture and micro-architecture from specs- Understanding of various bus protocols AHB, AXI and peripherals like USB, SDCC- Understanding of Memory controller designs and Microprocessors is an added advantage- Understanding of Chip IO design and packaging is an added advantage- Familiarity with various bus protocols like AHB, AXI is highly desired- Ability to review top level test plans- Expertise in Synopsys Design Compiler Synthesis and formal verification with Cadence LEC- Working knowledge of timing closure is a must - Should have good post silicon bring up and debug experience - Should have good SoC integration exposure and its challenges - Should have good exposure to design verification aspects - Having SoC specification to GDS to commercialization experience is highly desired - Needs to makes effective and timely decisions, even with incomplete information.- Should possess a strong understanding of a particular technical area and accumulated significant experience in this area and other related areas.- Provides direction, mentoring, and leadership to a small to medium sized groups.- Should possess strong communication and leadership skills to ensure effective communication with Program Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Spec: Understand Video Codec specification for respective blocks Micro-architect of sub-block design Understand all interfaces/Config for respective blocks Coding and debugging the functionality for all respective blocks Perform design optimizations for Power/Area/Timing/Performance Skillset looking for: Strong DSP/Multimedia Domain Knowledge on Video Codecs/Computer Vision along with Hardware Implementation is preferred. Experience in micro-architecting & designing complex datapath cores for ASICs/SoCs including AI/ML cores for CV applications Experience with RTL coding using Verilog/VHDL/system Verilog Familiar with the Synthesis and Formal Verification Simulation debugging with Verdi & log file. Exposure in scripting Familiar with the Linting, CDC, Low Power etc. Good team player. Need to interact with the verification engineers proactively Ability to debug and solve issues independently Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Qualifications: Bachelors or Masters degree from a top-tier institute. 6-11 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in synthesis, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Job Requirements: Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Required Skills and Experience : Bachelors or Masters Degree or equivalent experience in Electronics Engineering, Microelectronics, Software Engineering or a related field. The role of Senior DFT engineer require 5+ years of industry experience with shown ability in DFT of highly sophisticated SOCs : Core skills include Scan Codec insertion, Memory BIST and Repair implementation, Logic BIST, ATPG, BSCAN & JTAG (IEEE1149.1 & IEEE1687), Fault Simulation, ATPG Fault models(SAF, TDF, SDD, PDT etc), SDF annotated gate level verification, Scan and Memory Diagnosis. Must have experience with Siemens, Synopsys and/or Cadence Cad tools. Shall have experience in coding with Verilog, VHDL, C/C++, TCL, Perl and or Python. Responsibilities - Accountable for innovative DFT flow implementation(Scan, MBIST, LBIST & Boundary Scan) at the RTL and Gate level for a given SOC at Hard macro and chip top level. Help build flows that generate and validate ATPG patterns using simulations. Shall biuld flows that Validate the DFT implementation using RTL and Gate level simulation. Work with Multi-functional Teams on STA, Synthesis, LEC, CLP, verification & Validation. Support the Silicon bring up activities to guarantee the highest stability of the test patterns/program. Chip in to the overall DFT methodology development. Nice to have Skills/Experience :- Shall have Knowledge of IEEE 1149.6, 1500 and 1838. Good experience on Hierarchical Scan implementations with core wrapping concepts Experience in handling multi-clock domains and low power design implementation. Knowledge/Experience on SSN, 2.5D or 3D IC DFT implementation. Communicate effusively with multi-functional functional teams in different geographies and time Zones. Time management and multi-tasking skills.

ASIC Program Manager with experience in ASIC development and management. This person will coordinate project deliverables across cross-functional teams within Micron. The candidate for this position must have prior experience of managing ASIC development projects with good understanding of all phases of ASIC development including architecture specifications, RTL design, design verification, synthesis, PnR, final integration and silicon validation. The candidate must have good understanding of system on chip (SoC) products . The candidate must be a self-starter with excellent project planning and management skills in areas of estimation, schedule planning, milestone dependency tracking.

We are seeking a highly skilled Synthesis & Static Timing Analysis (STA) expert to join our Flows & Methodologies Team . This role requires strong analytical skills, attention to detail, and collaboration with cross-functional teams . Proficiency in EDA tools and digital design principles is essential. Location: Noida (Hybrid 3 days work in office) Experience: 6 to 15 years Key Responsibilities & Skills: Work with SoC cross-functional teams to define and develop Synthesis & STA methodologies for advanced nodes (3nm, 5nm, 16nm). Strong knowledge of RTL, Synthesis, LEC, VCLP, Timing Constraints, UPF, Timing Closure & Signoff . Experience with EDA tools such as Genus, Fusion Compiler, PrimeTime, Tempus, Conformal . Strong scripting skills in Perl, TCL, Python for automation and flow development. To apply, click on the Apply option or share your resume with Heena at heena.k@randstad.in

Roles and Responsibilities 1. Thoroughly knowledge of Chemistry and capable to scale up the products & process optimization. 2. Design & development of new routes for synthesis of new chemical entities, APIs 3. Executing a variety of organic reactions for synthesis of APIs, isolation & characterization using various analytical instruments like NMR / MASS. 4. Must have experience in handling various types of reactions for multi-step synthesis, purification & characterization of new molecules / APIs 5. Should be capable to prepare & maintain technology transfer documentation . 6. Collaborate with cross-functional teams to ensure successful project delivery. 7.Conduct experiments, analyze data, and troubleshoot issues related to chemical synthesis. 8. Stay updated on industry trends and advancements in organic chemistry. Preferred Candidates: 1) API / Bulk Drug R&D Experience. 2) Male Candidates from Western Line Mumbai. Or candidates willing/ relocate to western line of Mumbai .

* Perform Sub system level floor planning, placement, and routing for high-performance microprocessor design. * Collaborate with cross-functional teams to achieve design goals. * Close the design to meet timing, power, and area requirements. * Implement engineering change orders (ECOs) to rectify functional bugs and timing issues. * Ensure the quality and efficiency of the RTL to GDS2 implementation process. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8+ years of industry experience Good knowledge and hands on experience in physical design , timing and methodology which include logic synthesis, placement, clock tree synthesis, routing , post route closure. Should be knowledgeable in physical verification ( LVS,DRC. etc) ,Noise analysis, Power analysis and electro migration . Good knowledge and hands on experience in static timing analysis (closing timing at chip level) good understanding of timing constraints . Should have experience in handling asynchronous timing, multiple corner timing closure. Preferred technical and professional experience Automation skills in PYTHON, PERL ,SKILL and/or TCL

About The Role : As an IP Structural Design Engineer, you will be working alongside Elite IP and SoC design teams to deliver next-generation Xeon products and related IPs for Server markets. We are looking for candidates with experience as physical design engineers as part of the Structural Design Expert Team in the IP organization. You will be fluent in all aspects of IP physical design flow from high-level block design to synthesis, place and route and timing and power convergence to build a design database that is ready for manufacturing. Your responsibilities will include all aspects of RTL2GDSII physical design flow convergence including but not be limited to:Oversees definition, design, verification, and documentation for SoC (System on a Chip) development. Block-level floor planning, interconnect planning and UPF based power delivery methodology. Logic synthesis of design blocks using Synopsys Design Compiler DCT- Formal Equivalence Verification FEV using Cadence's Conformal tool. Auto Place-and-Route APR using Synopsys Fusion Compiler tools. Timing and power verification using Synopsys PrimeTime as well as Intel tools. Layout Verification and DRC analysis. What we offer:We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We offer a competitive salary and financial benefits such as bonuses, life and disability insurance, opportunities to buy Intel stock at a discounted rate, and Intel stock awards (eligibility at the discretion of Intel Corporation). We provide benefits that promote a healthy, enjoyable life:excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and much more creative perks that make Intel a Great Place to Work. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today. Qualifications You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and internship experience. Minimum Qualifications: Candidate must have a Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 7+ years of experience. OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 5+ years of experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field with 3+ years of experience in:CMOS circuit design, and layout verification. Industry standard CAD tools/flows for digital and/or analog design. Preferred Qualifications: Experience in:Fusion Compiler/Primetime Process and Design co-optimization for Density/Performance improvements RTL based power estimation and optimization. Experience in CPU/ASIC design methodology and flow development, particularly in the RLS, Structural Design, APR and low power optimization domains. Unix skills, programming skills in TCL, Perl Script and shell scripting. Good understanding of overall CPU/SOC design cycle and requirements. Willing to multi-task and flexibility to work in a global environment. Good communication skills and have self-motivation. Good analytical and Problem solving skills. Experience in working on high frequency designs and methodologies. Experience in leading small teams to design IPs. Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies"”spanning software, processors, storage, I/O, and networking solutions"”that fuel cloud, communications, enterprise, and government data centers around the world.

About The Role : As an IP Structural Design Engineer, you will be working alongside Elite IP and SoC design teams to deliver next-generation Xeon products and related IPs for Server markets. We are looking for candidates with experience as physical design engineers as part of the Structural Design Expert Team in the IP organization. You will be fluent in all aspects of IP physical design flow from high-level block design to synthesis, place and route and timing and power convergence to build a design database that is ready for manufacturing. Your responsibilities will include all aspects of RTL2GDSII physical design flow convergence including but not be limited to: Oversees definition, design, verification, and documentation for SoC (System on a Chip) development. Block-level floor planning, interconnect planning and UPF based power delivery methodology. Logic synthesis of design blocks using Synopsys Design Compiler DCT- Formal Equivalence Verification FEV using Cadence's Conformal tool & Synopsis Formality tool . Auto Place-and-Route APR using Synopsys Fusion Compiler tools. Timing and power verification using Synopsys PrimeTime as well as Intel tools. Layout Verification and DRC analysis. Behavioral traits that we are looking for:Willing to multi-task and flexibility to work in a global environment. Good communication skills and have self-motivation. Good analytical and Problem solving skills. Experience in leading small teams to design IPs. What we offer:We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We offer a competitive salary and financial benefits such as bonuses, life and disability insurance, opportunities to buy Intel stock at a discounted rate, and Intel stock awards (eligibility at the discretion of Intel Corporation). We provide benefits that promote a healthy, enjoyable life:excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and much more creative perks that make Intel a Great Place to Work. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today. Qualifications Minimum Qualifications:Candidate must have a Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, with 4+ years of experience listed below. OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, with 2+ years of experience listed below. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field experience in:CMOS circuit design, and layout verification.Industry standard CAD tools/flows for digital and/or analog design.Preferred Qualifications:Experience in Fusion Compiler/Primetime Process and Design co-optimization for Density/Performance improvements RTL based power estimation and optimization.Experience in CPU/ASIC design methodology and flow development, particularly in the RLS, Structural Design, APR and low power optimization domains.Unix skills, programming skills in TCL, Perl Script and shell scripting.Good understanding of overall CPU/SOC design cycle and requirements.Experience in working on high frequency designs and methodologies. Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies"”spanning software, processors, storage, I/O, and networking solutions"”that fuel cloud, communications, enterprise, and government data centers around the world.

Role & responsibilities 1. Good knowledge of synthetic organic chemistry. 2. Performing literature searches for the molecules that reaction is being carried out and understanding of the chemistries Strong skills in designing, optimizing, and scaling up synthetic chemical processes. 3. Plan and conduct experiments for chemical synthesis, ensuring the process can be reproduced and scaled up efficiently. 4. Design scalable synthetic processes that avoid patent infringement, especially for API (Active Pharmaceutical Ingredients) development. 5. Improve processes to make them industrially feasible, reduce costs, and enhance efficiency for existing products. 6. Validate synthetic processes at both laboratory and production plant scales. 7. Plant support for trial & validation batches. And troubleshooting of plant concerns. 8. Literature survey through various scientific databases. 9. Interpretation of NMR (Nuclear Magnetic Resonance), IR (Infrared Spectroscopy), MS (Mass Spectrometry), XRPD(X-Ray Powder Diffraction)and chromatography data 10. Knowledge of scale-up processes, and familiarity with Good Manufacturing Practices (GMP) and ICH-guideline. 11. Hands-on experience with bench-scale and pilot-scale synthesis is essential. Skilled in preparing detailed reports, presentations and technical documents like SOPs, process development reports, costing sheets, and technology transfer documents. Preferred candidate profile M.Sc/ M. Pharm/ Ph.D in Pharmacy Interested Candidates can share their resumes on shikha.mishra@walterbushnell.com

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About S&C - Global Network :- At Accenture Strategy & Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Qualifications Responsibilities: Role: Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Who we are looking for? Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financials, SAP, Sales & operations, Demographics, Trade promotion planner etc.) & functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About S&C - Global Network :- At Accenture Strategy & Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities. What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Role :- ML Engineer Consultant/Analyst Responsibilities: Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisitions Qualifications Who we are looking for? Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financials, SAP, Sales & operations, Demographics, Trade promotion planner etc.) & functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About S&C - Global Network :- At Accenture Strategy & Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU? Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Role :- ML Engineer Consultant/Analyst Responsibilities: Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Qualifications Who we are looking for? Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CG&S data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer P&L - financials, SAP, Sales & operations, Demographics, Trade promotion planner etc.) & functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy Consulting Team :- Global Network Data AI Practice :- Consumer Goods and Services Role :- ML Engineer Consultant/Analyst Job location :- Bengaluru, Gurugram, Pune, Hyderabad About SC - Global Network :- At Accenture Strategy Consulting Global Network we aim at deep industry expertise, advanced analytics capabilities and human-led design methodologies that enable clients to act with speed and confidence. We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda. We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy Consulting Network. The vision SCG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients. WHAT'S IN IT FOR YOU Accenture will continually invest in your learning and growth. Youll work with Accenture's certified Data AI practitioners, and Accenture will support you in growing your own tech stack and certifications. You'll be part of a diverse, vibrant, global Accenture Data AI community, continually pushing the boundaries of business capabilities . What you would do in this role We are seeking a skilled and experienced MLE Consultant to join our team. The ideal candidate should have a strong background in working different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering. Role:ML Engineer Consultant Responsibilities: Collaborate closely with clients and stakeholders in the CGS domain to grasp business requirements and user needs, translating them into effective machine learning solutions. Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques. Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP. Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets. Conduct comprehensive data quality checks and implement measures for continuous improvement. Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges. Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints. Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization. Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products. Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation. Qualifications Who we are looking for Who We Are Looking For: Minimum of 3 to 7 years of experience in machine learning engineering, data science, or related roles, demonstrating a robust track record of successful projects and achievements. The candidate should be experienced in dealing with CGS data (Nielsen, EPOS, IRI, Kantar, Euromonitor, Manufacturer or retailer PL - financials, SAP, Sales operations, Demographics, Trade promotion planner etc.) functions (such as Customer Experience, Marketing and Promotions, Store Planning, Supply Chain and Logistics, and trade promotions, salesforce etc.) driven through AI. Proficiency in utilizing Azure Services, Python programming, and DevOps/GitHub for developing and deploying machine learning solutions. Strong expertise in data assessment, modelling, data feature synthesis, and conducting data quality checks to ensure accuracy and reliability. Proven experience in analytical model creation, leveraging techniques such as LLM (Large Language Models) and Generative AI to derive actionable insights. Demonstrated capability in project management, overseeing end-to-end project lifecycles from inception to deployment. Substantial knowledge and experience in cloud agnostic environments, including AWS, Azure, and GCP, with a focus on building robust data pipelines for diverse datasets, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data. Excellent communication and collaboration skills, with the ability to effectively convey complex concepts and findings to diverse stakeholders. Experience working in agile environments and collaborating closely with cross-functional teams to deliver impactful solutions. A background in statistics, mathematics, or related quantitative fields is preferred, with additional qualifications such as an MBA from a premier business school considered a plus. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

We are looking for Group Leader for R&D for CDMO Business - API Molecules. Title: Group leader - CDMO To innovate methods of synthesis to achieve desired Project specifications for CDMO Clients. Industry you should be from : CDMO / CRO / CRM : API Level: Sr Manager Location: Pune Transport Facility : Yes 2nd & 4th Saturday are off. It's a Team leading role. You should be today leading a direct team of 1-2 and overall 6-8 in your vertical. Those looking for AGM role, please ignore this job post. Experience : 15 years to 22 Years in R&D Synthesis of API Molecules for CDMO Business. Qualification: Ph.D in Chemistry (Regular only) M.Sc. in Organic Chemistry (along with Regular Ph.D) Those with Part-time Ph.D / Correspondence Masters are not being considered. Must Haves: 1. At present and in the past, Interacting with CDMO Customers on an ongoing basis is a mandatory must have in your experience. 2. Regular Ph.D Degree. Candidates with online or Part-time PhD are not considered. 3. Regular M.Sc Organic Chemistry (No Correspondence) 4. You should be working in CDMO / CRAM / CRMO / CRO Business. Candidates working in R&D Centre and carrying out R&D role for in-house brand / Formulations products are not eligible. i.e R&D Centres carrying out Research for in-house domestic / your own company branded Pharma products are not eligible. You should be in Synthesis of molecules for global / domestic Customers / clients. Role: To innovate methods of synthesis to achieve desired Project specifications 1.Develop scalable and cost-effective processes for validation and commercial manufacture. 2. Provide line-level leadership and management coordination of resources and work schedules for laboratory activities. 3. Ensures that projects are completed in a timely manner so that company revenues are met, and clients are satisfied with the quality and turnaround time of work being performed. 4. Support Regulatory dept. for filing DMFs and other dossiers. 5. Successful validation of ongoing projects 6. Life cycle management of existing products 7.Provides leadership for problem resolution to facilitate technical improvements and build strong working relationships with Analytical/Quality Control, Quality Assurance, Project Managers, Development Group members and Clients. 8. Provides hands on lab support for ongoing Kilo lab projects as needed. 9. Interacting with CDMO Customers on an ongoing basis.

Job Title : RTL Design Engineer (Senior / Lead Designer) Experience : 5 + Years Location : Bangalore/Bhubaneswar Work Mode : Work From Office Interview Mode : Virtual Interview Notice Period : 0-60 days preferred For lead roles, a minimum of 6+ years of relevant RTL Design experience is required. Job Description : Responsibilities: Develop RTL code for advanced ASIC designs. Collaborate with architects and engineers to meet design specifications. Optimize RTL code for area, power, and performance. Conduct RTL simulations and assist with debugging. Work with physical design teams for synthesis and timing closure. Participate in design reviews and stay updated on industry trends. Lead, supervise, coach, and mentor junior engineers. Qualifications: Bachelor's or Master's degree in Electrical Engineering, or related field. 5+ years of experience in RTL Design. Strong in Digital Fundamentals, Verilog , SystemVerilog & VHDL. Familiarity with EDA tools and design methodologies. Strong problem-solving skills. Excellent communication and teamwork. Experience in Low Power Design (UPF) methodologies. Experience in Synthesis, Constraint Development, Linting, CDC LEC, and STA. Experience in scripting languages like Shell, Perl, Python, and PHP. Knowledge of low-speed bus protocols (AHB, SPI, QSPI, I2C, I2S) and high-speed serial protocols (AXI, PCIe, USB, Ethernet).

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: General Summary: Bachelors /Masters degree in Engineering Relevant experience of 2-12 yrs in any of the mentioned domain - Design/Verification/ Implementation Will be working on cutting-edge Wireless Technology (IEEE 802.11) team. Strong fundamentals in core areas:Microarchitecture, Computer Arithmetic, Circuit Design, Process Technology Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Design You will be responsible for developing HW blocks (IP design), conduct High/Mid/Low level Design review and delivery IP to Subsystem team for making complex SoCs. You will be a critical part of the WLAN subsystem, contribute to IP design, sign-off the core to the SOC design team. Strong communication skills to work with design teams worldwide Verification Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C As a design verification engineer you will work on developing IPs catering to upcoming Wifi standards like 802.11bn and beyond. You will have opportunity to contribute to the life cycle of the technology right from IP specification, till productization/customer deployments, leveraging your verification, pre and post silicon debug expertise. Implementation Candidate will be responsible for next generation WLAN hardmacro implementation Extensive experience in Synthesis (DC or Genus), Formal Verification (LEC / Formality), Conformal Low Power, PTPX, Primetime, Conformal ECO Extensive experience in UPF based power intent and synthesis Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Overview Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age and this is where you come in. You will be joining a successful engineering team whose deliveries can be found in billions of mobile, compute and IoT products worldwide. Based out of Qualcomm's Bangalore office, this role offers a position in Digital Design working on IP subsystem and cores targeted to a variety of industry leading SoCs. Key Responsibilities Develop micro-architecture and RTL design for Cores related to security. Responsible for block level design. Micro architecture and enabling SW teams to use HW blocks. Running ASIC development tools including Lint and CDC. Report status and communicate progress against expectations. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 2+ years Hardware Engineering experience or related work experience. Preferred Qualifications 10+ years of work experience in ASIC/SoC Design Experienced in RTL design using Verilog / System Verilog. Knowledge of cryptography, public/private key, hash functions, random number generator, encryption/signatures algorithms (AES, SHA, GMAC, etc.) will be a plus. Experienced in Linting, CDC and LEC. Experienced in database management flows with Clearcase/Clearquest. Ability to program effectively in Verilog, C/C++, Python, Perl Excellent oral and written communications skills Proactive, creative, curious, motivated to learn and contribute with good collaboration skills. ngineering Preferred:Master's, Electrical Engineering Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.