Preferred qualificationsBTech/ MTech EE/CS with 8+ Years of Physical Design experience.Extensive knowledge of Automated synthesis, Technology mapping, Place-and-Route and Layout techniquesPhysical verification and quality checks like LVS, DRC, IR dropClock tree synthesis, Power mesh design, Signal integrity.Latest foundry nodes up to 7nmHands on experience with Synthesis, Automatics Place-and-route, Full Chip STA, IO Planning, Full Chip Floorplan, Power Mesh creation, Bump Planning, RDL Routing, Low power design flowsStrong understanding of advanced digital design architectures and clocking structures to help manage timing and physical design constraintsAbility to work with designers to analyse and explore physical implementation options for complex designs.Basic knowledge of DFT techniques and implications on Physical designDesired tool familiarityIndustry standard PnR, Synthesis etc tools, TCL ScriptingThis is what you are responsible forPhysical Design of complex data path and control blocksDevelop new techniques and flows to rapidly prototype hardware blocksDevelop flows that allow for detailed power estimationWork with design team to understand placement and recommend implementation optionsInteract and engage with external teams to drive as well as deliver subsystems leading to chip tapeout.

About the RoleWe are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions.This is what you are responsible forLead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications.Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.Define and maintain architectural best practices, guidelines, and documentation for the software engineering team.Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions.Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation.Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.Drive continuous improvement in system architecture and development processes to support the companys growth and evolving requirements.Necessary qualifications8+ years of experience in software architecture, system design, and development of scalable, distributed systems.Proven experience in designing edge-based solutions, compilers, runtime, firmware.Strong programming skills in modern languages such as Python, C++ or similar language.Expertise in designing high-performance, low-latency systems for AI/ML workloads.Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines.Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus.Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.Preferred qualificationsExperience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines.Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing.Experience working in a fast-paced, startup environment is a plus.

We are seeking a skilled and motivated Driver Developer with expertise in embedded systems and Real-Time Operating Systems (RTOS). As a key member of our team, you will be responsible for designing, implementing, and maintaining Windows/Linux drivers and DSP firmware, ensuring seamless integration with embedded systems and RTOS environments. The ideal candidate will have a strong background in low-level programming, kernel-mode development, and a deep understanding of hardware interactions. Join us if you are passionate about pushing the boundaries of technology and thrive in a dynamic, collaborative environment.Requirements :- Bachelor's or higher degree in Computer Science or Electronics & Communication with 4 + years of relevant experience- In-depth knowledge of kernel-mode programming in both Windows internals.- Strong C/C++ programming skills and familiarity with assembly language.- Proven experience in Windows driver development and embedded systems.- Strong knowledge on the embedded system.- Proficiency in Windows driver frameworks (WDM/WDF) and understanding of Windows-specific DMA protocols.- experience in Windows PCIe and USB kernel and/or userspace drivers.- Expertise in kernel space debugging using tools like WinDbg, dbgview, Visual Studio, or similar.- Familiarity with MCDM is a plus.Responsibilities :- Develop and maintain Windows/Linux drivers and RTOS for various requirement.- Collaborate with cross-functional teams to integrate drivers into embedded systems.- Design and develop PCIe and USB drivers for AI chipsets, ensuring performance and reliability- Optimize driver performance and ensure compatibility with evolving Windows environments.- Optimize data path efficiency and minimize latencyMinimum Qualifications :- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Role Overview :- Doctorate with 3+ years of Systems Engineering or related work experience- Familiarity/experience with embedded security and ARM trust zone.- Experience on Network security and secure communication- Deep understanding of Linux internals, SE-Linux/SMACK, file system, operating system security, automotive security.- Programming languages - C/C++- Complete understanding of secure boot, secure kernel on any SoCs- We are seeking gifted engineers who have a passion for developing SoC Security architecture enabling state-of-the art security features. Analyzing power, performance, area trade-offs, HW/ SW interfaces and re-usability of various IPs/ Cores. - He/ She will also be involved in creating/ using architectural models and tools to help perform architectural analysis and architectural validation of choices made thereof.

We are seeking an exceptional Senior ASIC Verification Engineer to join our innovative semiconductor team. You will lead verification initiatives for complex ASIC designs and drive technical excellence across projects.About the Role :You will be responsible for developing advanced verification environments, leading cross-functional technical initiatives, and mentoring team members while ensuring the highest quality standards in our ASIC designs.What You'll Do :- Design and implement advanced System Verilog/UVM verification infrastructures- Lead verification planning and execution for complex ASIC projects- Develop comprehensive test strategies ensuring thorough design validation- Drive debug resolution through collaboration with cross-functional teams- Mentor and provide technical guidance to verification team members- Enhance and optimize verification methodologies- Own end-to-end SOC verification environmentsRequired Skills & Experience :- BS/MS in Electrical/Computer Engineering- 2+ years of hands-on ASIC verification experience- Expert-level SystemVerilog, UVM, and object-oriented programming skills- Strong proficiency with industry tools like VCS, Xcelium, QuestaSim- Advanced debugging and problem-solving capabilities- Excellent communication and collaboration abilities- CLP and GLS- Python/Perl scripting expertiseNice to Have :- Experience with PCIe, DDR, USB, C2C- Knowledge of on-chip interconnects and processor subsystems- Background in formal verification methods- Prior experience on Emulators

As an Applications Engineer you will have a direct impact on the success of or next generation of industry leading products through your work supporting validations and working with our customers to simplify their design process.Here Is What Your Daily Role Will Look Like :- Actively help customers on their design and development- Create code examples, application notes, quick start guides for AI applications- Collaborate with hardware engineering, software engineering and marketing teams on product evaluations and new product definition- Strong C programming skills on embedded systems- 4+ Yrs Experience with embedded or real-time operating systems on any commonly used MCU platform- Knowledge of TCP/IP stack and commonly used protocols e.g. DHCP, ARP etc.- Excellent written and verbal communication skills in English- Knowledge of commonly used IoT Communication Protocols e.g. HTTP, MQTT, WebSocket.- Proven expertise with commonly used MCU peripherals e.g. SPI, I2C, UART, ADC etc.- B.Tech/M.Tech in Electronics and Communications/Electrical or Computer EngineeringChallenges you will solve :- Work closely with engineering teams to debug customer-reported issues- Replicate customer environments by collaborating with the sales team and field application engineers to support customer needs and troubleshoot problems- Design and execute functional, performance, and feature-specific sample applications for embedded MCU products

About the Role :We're seeking an experienced Runtime Engineer to develop and optimize software systems for our silicon platform. This role focuses on building efficient runtime systems that maximize chip performance while ensuring reliability and ease of use.Key Responsibilities :- Design and implement runtime systems for AI accelerator execution and memory management- Develop and optimize runtime libraries for high-performance tensor operations- Create efficient memory allocation and scheduling algorithms for ML workloads- Interface with hardware subsystems through PCIe interface for optimal data transfer- Build and maintain runtime profiling and debugging tools- Work closely with hardware team to optimize end-to-end performance- Document runtime architecture and implementation strategies- Perform thorough testing and performance analysis of runtime componentsRequired Qualifications :- BTech/MTech in Computer Science or Electronics & Communication- 4+ years of experience in systems programming with C/C++- Strong understanding of concurrent programming and multithreading- Proficiency with debugging and profiling tools (gdb, valgrind, WinDbg, address sanitizer)- Experience with performance optimization and low-level system interfaces- Knowledge of memory management and scheduling algorithmsNice To Have :- Experience with ML frameworks (TensorFlow, PyTorch) and their runtime systems- Understanding of AI/ML workload characteristics- Background in driver development or hardware interfaces

SKILL SETDesigned and implemented circuit boards for next-generation electronic products, ensuring optimal performance and functionality.Lead the design and development of complex hardware systems, including schematic design, PCB layout, and hardware bring-up.Good background in both digital and analog circuit design, with a focus on high-speed interfaces like PCIe, USB-C, SATA, Ethernet, and various types of DDR (DDR3, 4, 5) memory. Also extends to low-speed communication protocols such as USB 2.0, UART, RS232, RS422, I2C, SPI, & CANCollaborate with cross-functional teams to define system requirements, architecture, and design specifications.Conduct feasibility studies and risk assessments to ensure hardware designs meet performance, cost, and schedule requirements.Manage team members, providing guidance on design best practices, tools, and methodologies.Perform detailed design reviews, testing, and validation of hardware prototypes to identify and resolve design issues.Work closely with suppliers and manufacturing partners to ensure the successful ramp-up and production of hardware products.Lead troubleshooting efforts to identify and resolve hardware issues in the field, providing timely and effective solutions.Stay up to date on industry trends and emerging technologies to drive innovation and improvement in hardware design practices.Support product lifecycle management activities, including design updates, obsolescence management, and product end-of-life planning.Communicate effectively with stakeholders, including management, customers, and partners, to ensure alignment on project goals, timelines, and deliverables.Experience working on projects throughout the hardware design cycle, including testing mechanical enclosures and functionality for prototype and production designs, as well as performing and updating design changes during tooling.Proficient in preparing design-related documents such as preliminary design reports, critical design reports, requirement capture documents, test plans, and assembly instructions.

As a Embedded SW Lead, you will be responsible for low level drivers, toolchain, boot code, BSPs, and functionality of the Embedded Micro-Controller and its Wireless and Sensor peripherals.Key Qualifications :- Design and develop embedded software using - bare metal- and real time operating systems on multiple boards and MCUs.- Design and develop board bring up code, device driver code, boot loaders, firmware update software (OTA), Secure boot, software for interfacing with sensors and peripherals, and application software.- Design and develop firmware including toolchain, BSPs to support IIoT modules.- Design, develop, and enhance middle layer framework to support reliable and maintainable application development, including higher layer communication stacks such as MQTT, LwM2M etc.- Design, document, code, test, and debug embedded device controllers for IoT.- Create unit and integrated test plans, test cases, and perform unit and integration testing and code reviews. Test tool development for both system verification and production test.- Support project planning efforts, including task definition and work effort.- Perform analysis, resolution, and tracking of defects and improvement to closure.- Develop and improve software development processes and procedures.- Provide engineering support for other departments as necessary.- Complete other engineering duties as assignedMinimum requirements :- 9 + years of experience in embedded systems development with strong C++ skills, multi-threading, multi-processor interfacing, and hardware-software integration.- Excellent software design skills and C/C++ programming skills; preferably in safety critical software development.- 3+ years of programming experience targeting embedded Microcontrollers (Experience with ARM Cortex M3/M4,/MSP430 or similar microcontroller preferred).- Experience working with microcontrollers running both RTOS (Example: RTX, ThreadX, FreeRTOS, Micrium OS, etc.) and bare metal software.- Experience in developing device drivers, timers, interrupt handlers, message-based software, etc.,- Experience in developing device drivers for bus interfaces and peripherals: SPI, I2C, UART, ADC, DAC, I2S, USB, LCD- Experience in C/C++ coding standard, OOD, static analysis, and code coverage.- Proficient with software development process.- Demonstrable experience developing efficient (memory, CPU, and bandwidth) software.- Familiarity setting up various embedded toolchains, build, and debugging environments.- Experience with software engineering processes and tools such as configuration management and issue tracking systems.- Ability to read circuit designs/electrical schematics and datasheets.- Experience in using oscilloscopes, logic analyzers, and other test equipment to troubleshoot hardware/software issues.- Excellent problem-solving, design, development, and debugging skills.- Strong communication and interpersonal

As Run time Engineer , on our team, you will have the opportunity to work on the fundamental abstractions, programming models, compilers, runtimes, libraries, and Application Programming Interfaces (APIs) that enable large scale training and inferencing of the world's most advanced AI models.Requirements :- 4+ years experience with C/C++11 with strong fundamentals in concurrent coding.- Ability to mentor juniors and drive feature completion with little supervision.- Highly skilled in using debugging tools like gdb, valgrind, WinDbg, address sanitizer, or similar.- Demonstrated ability in debugging under high-pressure, customer-facing situations.- Familiarity with security protocols like TSL/RSA is preferred.- Working experience with Rust is a strong plus.Responsibilities :- Design and develop the application and system software for a cutting-edge AI silicon- Ability to work in a fast-paced environment collaborating with various teams locally and globally- A passion for problem-solving and the ability to consider the bigger picture during feature development- Define feature requirements with customers and teams, gathering feedback to improve products- Ensure clear understanding of requirements, documenting implementation strategies- Review and test features to prevent issues, conducting impact analysis to mitigate potential problemsMinimum Qualifications :- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

- 2+ years of overall experience with large portion of that working on C++ based projects- Hands on implementation of algorithms in Cuda, Shaders on GPU.- Experience in ARM architecture- Very good Knowledge on Object-Oriented Design & System Integration- Very good knowledge on Code Optimization, Implement & Adapt Complex Algorithms- As a member of the team, you will play a critical role in all stages of GPU development- Design and architect features in compute and graphics stimulus development framework similar to OpenGL and CUDA- Strong C++ programming capability required- Graphics or CUDA knowledge a plus- Experience with OpenGL, Vulkan, Direct3D, CUDA APIs a plusSkills: Candidates should have a B.E. or B.Tech. degree in Computer Science, Information Technology or related subjects within the past 5 years.

About the Role:We're seeking an experienced Runtime Engineer to develop and optimize software systems for our silicon platform. This role focuses on building efficient runtime systems that maximize chip performance while ensuring reliability and ease of use.Key Responsibilities:* Design and implement runtime systems for AI accelerator execution and memory management* Develop and optimize runtime libraries for high-performance tensor operations* Create efficient memory allocation and scheduling algorithms for ML workloads* Interface with hardware subsystems through PCIe interface for optimal data transfer* Build and maintain runtime profiling and debugging tools* Work closely with hardware team to optimize end-to-end performance* Document runtime architecture and implementation strategies* Perform thorough testing and performance analysis of runtime componentsRequired Qualifications:* BTech/MTech in Computer Science or Electronics & Communication* 4+ years of experience in systems programming with C/C++* Strong understanding of concurrent programming and multithreading* Proficiency with debugging and profiling tools (gdb, valgrind, WinDbg, address sanitizer)* Experience with performance optimization and low-level system interfaces* Knowledge of memory management and scheduling algorithmsNice To Have:* Experience with ML frameworks (TensorFlow, PyTorch) and their runtime systems* Understanding of AI/ML workload characteristics* Background in driver development or hardware interfacesWhat We Offer:* Opportunity to work on cutting-edge high performance compute hardware* Collaborative environment with global teams* Fast-paced and innovation-driven culture* Chance to shape the future of AI acceleration

This is what you are responsible forWork closely with customers to support and enable embedded application developmentDevelop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloadsCreate application notes and other documentation on software tool flowsPerformance and Power measurement and analysis of Embedded AI systemsCreate communication plan and processes to effectively prioritize customers, issues and featuresNecessary qualificationsDemonstrated ability to support customersCustomer first attitude, track record of root-cause analysis and fixing a problem for goodBachelors Degree in Computer Science or Electronics plus 5+ years of experienceExperience in building embedded software applicationsExperience programming in Python, C, C++Experience in vision frameworks like OpenCV, gstreamer, OpenCL etc.Excellent problem-solving skillsExcellent communication skillsPreferred qualificationsStrong analytical and quantitative skillsExperience with video/multimedia/image processing software developmentExposure to Neural Networks, AI/ML/DL models, training, frameworks like TensorFlow, Caffe, PyTorchExperience with Driver development in Linux, MacOS or Windows platformsExperience at debug of hardwareAbility to work both independently and in highly collaborative team environments

About the RoleWe are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions.This is what you are responsible for- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications.- Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.- Define and maintain architectural best practices, guidelines, and documentation for the software engineering team.- Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions.- Ensure that all software architecture aligns with security, performance, and reliability standards.- Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation.- Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.- Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications :- 8+ years of experience in software architecture, system design, and development of scalable, distributed systems.- Proven experience in designing edge-based solutions, compilers, runtime, firmware.- Strong programming skills in modern languages such as Python, C++ or similar language.- Expertise in designing high-performance, low-latency systems for AI/ML workloads.- Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines.- Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus.- Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.Preferred qualifications :- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines.- Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing.- Experience working in a fast-paced, startup environment is a plus.

This is what you are responsible for :- Develop and Maintain Documentation : Create and update a wide range of technical materials, including user manuals, installation guides, API reference guides, release notes, and troubleshooting guides for our semiconductor and software products.- Gather Information : Collaborate with engineers, product managers, and subject matter experts to collect accurate and up-to-date details about product features, functionalities, and technical specifications.- Write Clear and Concise Content : Simplify complex technical information for diverse audiences, ensuring clarity and usability for both technical professionals and end-users.- Edit and Proofread : Review and refine technical content to ensure accuracy, consistency, and adherence to organizational style guides.- Utilize Authoring Tools : Leverage industry-standard tools like MadCap Flare, Adobe FrameMaker, or similar software to create and manage high-quality documentation.- Stay Updated : Stay informed about industry trends, technologies, and documentation best practices to ensure content remains relevant and innovative.- Collaborate with Cross-Functional Teams : Partner with engineering, product management, and marketing teams to ensure alignment and timely delivery of documentation.Necessary Qualifications :- Bachelor's degree in technical writing, computer science, engineering, or a related field.- At least 3 years of experience as a technical writer in the semiconductor or software industry.- Strong technical writing skills with the ability to produce clear, concise, and accurate documentation.- Excellent understanding of technical concepts and the ability to simplify them for a diverse audience.- Proficiency in authoring tools like MadCap Flare, Adobe FrameMaker, or similar platforms.- Strong attention to detail, with the ability to work independently and collaboratively.- Excellent organizational and time management skills.- Experience with XML-based authoring standards (e.g., DITA) is a plus.- Knowledge of software development methodologies (e.g., Agile, Scrum) is beneficial.Preferred Qualifications :- Experience with technical illustration tools (e.g., Adobe Illustrator, Visio).- Familiarity with content management systems (e.g., SharePoint, WordPress).- Knowledge of single-sourcing and content reuse strategies.- Understanding of industry standards (e.g., IEEE, ANSI, ISO).

What You'll Be Doing :- In this position, you will expect to lead all block/chip level PD activities.- PD activities includes floor plans, abstract view generation, RC extraction, PNR, STA, EM,IR DROP, DRCs & schematic to layout verification.- Work in collaboration with design team for addressing design challenges.- Help team members in debugging tool/design related issues.- Constantly look for improvement in RTL2GDS flow to improve PPA.- Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention.- Responsible for all aspects of physical design and implementation of GPU and other ASICs targeted at the desktop, laptop, workstation, and mobile markets.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.- Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.- PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.What We Need To See :- Strong experience in Physical Design.- Strong understanding in the RTL2GDSII flow or design implementation in leading process technologies. Good understanding of the RTL2GDSII concepts related to synthesis, place & route, CTS, timing convergence, layout closure.- Expertise on high frequency design methodologies. Good knowledge and experience in Block-level and Full-chip Floor-planning and Physical verification. Working experience with tools like ICC2/Innovus, Primetime/Tempus etc used in the RTL2GDSII implementation.- Strong knowledge and experience in standard place and route flows ICC2/Synopsys and Innovus/Cadence flows preferred.- Well versed with timing constraints, STA and timing closure.- Good automation skills in PERL, TCL, tool specific scripting on one of the industry leading Place & Route tools.- Ability to multi-task and flexibility to work in global environment.- Good communication skills and strong motivation, Strong analytical & Problem solving skills.- Proficiency using Perl, Tcl, Make scripting is preferred.- Widely considered to be one of the technology worlds most desirable employers, offers highly competitive salaries and a comprehensive benefits package.

About the Role We are seeking a highly skilled and experienced Hardware Architect to join our dynamic team. The ideal candidate will have a strong background in hardware architecture, particularly in writing architectural models and conducting performance and power analysis of chips. In addition to collaborating closely with our hardware team, the successful candidate will also work with our software department, which focuses on compilers, runtime software, and kernel software, to ensure cohesive and efficient chip design and functionality.This is what you are responsible forArchitecture Modeling:Develop architecture models for AI chips.Collaborate with cross-functional teams to ensure models accurately reflect design specifications and requirements.Utilize industry-standard tools and methodologies for architecture modeling.Performance Analysis:Conduct in-depth performance analysis to identify and resolve bottlenecks in AI chip designs.Use simulation and analytical methods to predict and enhance chip performance.Work with software teams to validate performance models with real-world applications and workloads.Power Analysis:Perform detailed power analysis to ensure AI chips meet stringent power consumption targets.Necessary Qualifications:Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or a related fieldMinimum of 8 years of experience in hardware architecture/design of silicon chipsStrong understanding of computer architecture principles and AI chip design.Proficiency in C/C++/Verilog.Define micro-architecture and write detailed design specifications.Implement complex digital functions and algorithms in RTL.Experience with synthesis, static timing analysis, and linting tools.Experience in any of processor subsystem design, interconnect design, high speed IO interface design.

We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect , you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions.This is what you are responsible for :- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications.- Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.- Define and maintain architectural best practices, guidelines, and documentation for the software engineering team.- Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions.- Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation.- Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.- Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications :- 8+ years of experience in software architecture, system design, and development of scalable, distributed systems.- Proven experience in designing edge-based solutions, compilers, runtime, firmware.- Strong programming skills in modern languages such as Python, C++ or similar language.- Expertise in designing high-performance, low-latency systems for AI/ML workloads.- Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines.- Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus.- Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.Preferred qualifications :- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines.- Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing.- Experience working in a fast-paced, startup environment is a plus.What you will gain :- Be part of a pioneering team shaping the future of AI and edge computing.- Work on innovative projects that solve real-world challenges.- Opportunity to grow with a dynamic, forward-thinking company.- Competitive salary, benefits, and a collaborative work environment.

- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications.- Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.- Define and maintain architectural best practices, guidelines, and documentation for the software engineering team.- Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions.- Ensure that all software architecture aligns with security, performance, and reliability standards.- Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation.- Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.- Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications :- 8+ years of experience in software architecture, system design, and development of scalable, distributed systems.- Proven experience in designing edge-based solutions, compilers, runtime, firmware.- Strong programming skills in modern languages such as Python, C++ or similar language.- Expertise in designing high-performance, low-latency systems for AI/ML workloads.- Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines.- Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus.- Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Necessary QualificationsBachelors or Masters degree in Electronics, Computer Science Engineering, or a related fieldMinimum of 5 to 7 years of experience in Implementation flows/ Synthesis and STA.Experience with Cadence, Synopsys and Mentor toolsExperience with Verilog and VHDL.Experience with sign-off Static Timing Analysis, Logic equivalency checks, and Static Low Power Checks (UPF/ CPF/CLP)Formal verification for RTL 2 gates and gates2gatesConformal ECO for doing complex functional ECOs.Low power synthesis on smaller blocks and subsystems using DC/GenusPhysical Aware synthesisWriting Timing Constraints sub-blocks and Top level.Flow Automation and Scripting using TCL and Python or Perl.

bout the RoleWork closely with customers to support and enable Deep Learning software and application development.Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads.Create application notes and other documentation on software tool flows.Performance and Power measurement and analysis of Embedded AI systems.Necessary qualificationsBTech/MTech in EE/CS 4+ years of experience.Experience in building embedded software applications.Experience programming in Python, C, and C++.Experience in vision frameworks like OpenCV, GStreamer, OpenCL, and so forth.Excellent problem-solving skills.Excellent communication skills.Preferred qualificationsExperience with video/multimedia/image processing software development.Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch.Experience with Driver development in Linux, macOS, or Windows platforms.Experience in debugging hardware.Ability to work both independently and in highly collaborative team environments.Ability to learn new tools and concepts quickly.