Kinara is a Bay Area-based venture backed company with a revolutionary architecture developed based on research conducted at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of Prof. Mark Horowitz and Prof. Christos Kozyrakis. Our game-changing AI solutions are designed to transform what individuals and businesses can accomplish. Our Ara inference processors, in conjunction with our SDK, deliver unparalleled deep learning performance at the edge to enhance and optimize real-time decision-making in scenarios where every millisecond counts and power efficiency is crucial. Kinara's solutions integrate high-performance AI into edge devices to build a smarter, safer, and more enjoyable world. With Edge AI poised for exponential growth, Kinara is poised to play a significant role in this evolution. As a part of our team, you will have the following responsibilities: - Collaborate closely with customers to support and facilitate embedded application development - Troubleshoot and resolve customer-reported issues with high quality solutions - Develop necessary technical user documentation outlining product features - Establish communication plans and processes to efficiently prioritize customer concerns, issues, and features Required qualifications for this position include: - Demonstrated ability to provide effective customer support - Customer-centric approach with a proven track record of conducting root-cause analysis and implementing permanent solutions - Bachelor's Degree in Computer Science or Electronics along with 5-10 years of relevant experience - Proficiency in developing multi-threaded embedded software applications - Proficiency in programming languages such as C, C++, and Python - Strong problem-solving abilities - Excellent communication skills Preferred qualifications that would be advantageous for this role are: - Strong analytical and quantitative skills - Experience in video/multimedia/image processing software development - Familiarity with Neural Networks, AI/ML/DL models, and training frameworks like TensorFlow, Caffe, PyTorch - Experience with vision frameworks including OpenCV, gstreamer, OpenCL, etc. - Knowledge of Driver development in Linux, MacOS, or Windows platforms - Expertise in debugging hardware systems - Ability to work independently as well as in collaborative team settings Joining our team at Kinara, you will: - Contribute to a pioneering team that is shaping the future of AI and edge computing - Engage in innovative projects that address real-world challenges - Have the opportunity to grow within a dynamic and forward-thinking organization - Enjoy competitive salary, benefits, and a supportive work environment Our work culture at Kinara is centered around fostering innovation. Our team comprises technology experts with a holistic perspective and mentors who guide dedicated professionals to tackle exciting challenges. We believe in shared responsibilities, where every viewpoint is respected and valued. Come be a part of our team and make your mark in the tech industry. We look forward to considering your application.,
As a VLSI Design Engineer at Kinara, you will be part of a dynamic team focused on edge AI technology, pushing the boundaries of what's achievable in machine learning and artificial intelligence. You will contribute to the development of state-of-the-art AI processors and high-speed interconnects, ensuring unmatched performance, power efficiency, and scalability to meet the demands of modern AI applications. Your role will involve working on cutting-edge semiconductor projects, requiring a blend of technical expertise, problem-solving skills, and collaborative teamwork. Your responsibilities will include defining micro-architecture and creating detailed design specifications, developing RTL code based on system-level requirements using Verilog, VHDL, or SystemVerilog, implementing complex digital functions and algorithms in RTL, and executing comprehensive test plans to verify RTL designs. You will optimize designs for power, performance, and area constraints, conduct simulation and debugging activities to ensure design accuracy, collaborate with verification engineers to develop test benches and validate RTL against specifications, and apply your strong understanding of digital design principles and concepts. To excel in this role, you should possess proficiency in writing and debugging RTL code, experience with synthesis, static timing analysis, and linting tools, familiarity with scripting languages like Python, Perl, or TCL for automation, and expertise in processor subsystem design, interconnect design, or high-speed IO interface design. A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field, along with 5+ years of experience in RTL design and verification, is required. Proven experience in digital logic design using Verilog, VHDL, or SystemVerilog, familiarity with simulation tools such as VCS, QuestaSim, or similar, and hands-on experience with RTL design tools like Synopsys Design Compiler and Cadence Genus is preferred. At Kinara, we offer an innovative environment where technology experts and mentors collaborate to tackle exciting challenges. We believe in sharing responsibilities and valuing diverse viewpoints. If you are passionate about making a difference in the field of edge AI technology, we invite you to join our team and contribute to creating a smarter, safer, and more enjoyable world. Your application is eagerly awaited as we look forward to reviewing your qualifications and experiences. Make your mark with us at Kinara!,
You will be part of Kinara, a Bay Area-based venture backed company, founded based on research conducted at Stanford University. Kinara's game-changing AI solutions aim to revolutionize what individuals and businesses can accomplish. Their Ara inference processors, combined with an innovative SDK, offer unparalleled deep learning performance at the edge. This enables the acceleration and optimization of real-time decision-making, emphasizing the importance of speed and power efficiency. By embedding high-performance AI into edge devices, Kinara contributes to creating a smarter, safer, and more enjoyable world. As the field of Edge AI is on the verge of a significant growth phase, Kinara is poised to play a pivotal role in this evolution. Your responsibilities will include the physical design of complex data path and control blocks, development of new techniques and flows for rapid hardware prototyping, creation of flows enabling detailed power estimation, collaboration with the design team to understand placement and recommend implementation options, as well as engagement with external teams to drive and deliver subsystems leading to chip tapeout. Preferred qualifications for this role include a BTech/MTech degree in EE/CS with at least 8 years of experience in Physical Design. You should possess extensive knowledge of Automated synthesis, Technology mapping, Place-and-Route, and Layout techniques, along with skills in Physical verification and quality checks such as LVS, DRC, IR drop, Clock tree synthesis, Power mesh design, and Signal integrity. Familiarity with the latest foundry nodes up to 7nm is desirable, as well as hands-on experience with various design aspects including Synthesis, Place-and-route, Full Chip STA, IO Planning, Floorplan, Power Mesh creation, Bump Planning, RDL Routing, and Low power design flows. Strong expertise in advanced digital design architectures and clocking structures is essential to manage timing and physical design constraints effectively. Furthermore, you should be able to collaborate with designers to analyze and explore physical implementation options for complex designs, possess basic knowledge of DFT techniques, and be familiar with industry-standard PnR, Synthesis, and TCL Scripting tools. Strong communication skills and the ability to work well in a team are also crucial. At Kinara, the work culture is centered around fostering innovation. The environment encourages professionals to tackle exciting challenges under the guidance of technology experts and mentors. The company values diverse perspectives and shared responsibilities, creating a collaborative and inclusive atmosphere where every individual's input is respected and appreciated. If you are passionate about making an impact and are eager to take on rewarding challenges, Kinara awaits your application eagerly. Join Kinara and be a part of a dynamic team that values innovation, collaboration, and personal growth. Your unique skills and experiences will contribute to shaping the future of AI solutions and advancing the field of Edge AI. Share your story with us, and let's work together to create a smarter, safer, and more enjoyable world.,
As a Hardware Architect at Kinara, a Bay Area-based venture backed company, you will play a crucial role in developing game-changing AI solutions that revolutionize what people and businesses can achieve. Your primary responsibility will be to develop architecture models for AI chips, ensuring that they accurately reflect design specifications and requirements. Collaborating with cross-functional teams, including hardware and software departments, you will work towards cohesive and efficient chip design and functionality. In addition to architecture modeling, you will conduct in-depth performance analysis to identify and resolve bottlenecks in AI chip designs. Using simulation and analytical methods, you will predict and enhance chip performance while working closely with software teams to validate performance models with real-world applications and workloads. Furthermore, you will perform detailed power analysis to ensure that AI chips meet stringent power consumption targets. To be successful in this role, you should hold a Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, along with a minimum of 8 years of experience in hardware architecture/design of silicon chips. You must possess a strong understanding of computer architecture principles and AI chip design, as well as proficiency in C/C++/Verilog. Preferred qualifications for this position include excellent analytical and problem-solving skills, strong communication and teamwork abilities, the ability to work in a fast-paced, collaborative environment, and a detail-oriented approach with a focus on delivering high-quality results. At Kinara, we have an innovative environment that encourages technology experts to tackle exciting challenges while sharing responsibilities and valuing every point of view. If you are passionate about making a mark in the field of AI hardware architecture and are looking for a dynamic team to join, we look forward to reviewing your application. Join us at Kinara and be a part of creating a smarter, safer, and more enjoyable world through cutting-edge edge AI solutions.,
Hyderabad, India Who we are Kinara is a Bay Area-based venture backed company. Our architecture is based on research done at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of legendary Prof. Mark Horowitz (http://www-vlsi.stanford.edu/~horowitz/) and Prof. Christos Kozyrakis (http://csl.stanford.edu/~christos/). What we do Our game-changing AI solutions revolutionize what people and businesses can achieve. Ara inference processors combined with our SDK deliver unrivalled deep learning performance at the edge to accelerate and optimize real-time decision making where every millisecond is critical, and power efficiency is a must. Kinara solutions embed high- performance AI into edge devices to create a smarter, safer, and more enjoyable world. Edge AI is on the brink of a boom, and Kinara is looking forward to playing a significant role in it. Job Summary We are seeking an experienced developers for our kernel development team focused on building and optimizing AI/ML operators using our specialised Instruction Set Architecture (ISA). In this role, you will be responsible for design, development, and performance tuning of core kernel components that directly influence the efficiency and reliability of AI/ML workloads on our custom hardware. You will work closely with compiler teams, hardware architects, and application developers to deliver an operator that maximizes performance while meeting stringent accuracy and latency requirements. Key Responsibilities Design and development of core kernel modules, optimized for both performance and energy efficiency under AI/ML workloads. Design and development of advanced performance profiling/optimization and debugging tools to ensure low latency. Analyse kernel performance, identify bottlenecks, and implement optimizations at the software and feedback to the hardware for next generation improvements. Ensure to follow and propose industry best practices for code quality, performance testing, and validation of kernels. Collaborate with hardware architects, compiler teams to align the kernel design with the underlying ISA capabilities and seamless integration of AIML models. Stay current on emerging trends in ISA design, low-level programming, and AI/ML hardware acceleration. Ensure that documentation of the kernel components is made. Necessary Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field. Work experience in C/C++ is required and python is plus. 3+ years of industry experience in kernel or low-level system software development, with a strong background in optimizing performance for specialized hardware. Appropriate understanding of assembly language, computer architecture, ISA design/Development, and related performance optimization techniques. Demonstrated experience in using debugging and performance profiling tools (e.g., kernel debuggers, profilers, trace analyzers). Experience with developing AI/ML operators or accelerators in hardware-software co-design environments, is a plus. Experience of relevant industry standards and emerging trends in AI hardware acceleration is a plus. What We Offer An opportunity to lead innovative kernel development projects at the cutting-edge intersection of AI/ML and custom ISA design. A collaborative, dynamic work environment with access to state-of-the-art technology and methodologies. Competitive compensation, comprehensive benefits, and significant opportunities for professional growth and impact. Work culture We at Kinara have an environment that fosters innovation. Our team has technology experts who understand the big picture and mentors who coach passionate professionals to work on the most exciting challenges. We share responsibilities in everything we do, where every point of view is valued. Join us!
As a Junior ASIC Verification Engineer at Kinara, you will be part of our dynamic team working on cutting-edge AI solutions that are revolutionizing the capabilities of individuals and businesses. Your primary responsibility will be to lead and execute verification efforts for complex ASIC designs, ensuring the quality and reliability of our products. Your key responsibilities will include developing and maintaining verification plans, testbenches, and test cases for ASIC designs. You will design and implement SystemVerilog/UVM-based verification environments, create and execute test cases to verify functionality, performance, and compliance with specifications, as well as write test plans and test cases at the unit or SOC level. To excel in this role, you should hold a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. Proficiency in SystemVerilog, C, and C++ languages is essential, along with experience with verification tools such as VCS, QuestaSim, or similar. Strong problem-solving and debugging skills, excellent communication, and teamwork abilities are also necessary for success in this position. Preferred qualifications include experience with scripting languages like Python or Perl, knowledge of industry standards and protocols (e.g., AXI, AHB), and familiarity with formal verification techniques. At Kinara, we have a culture that fosters innovation, with technology experts and mentors who coach passionate professionals to tackle exciting challenges collaboratively. Join us at Kinara and be part of a team that values diverse perspectives and encourages sharing of responsibilities. We are excited to review your application and hear your unique story. Make your mark with us!,
As a part of Kinara, a Bay Area-based venture backed company with a strong foundation in research at Stanford University, you will play a crucial role in revolutionizing AI solutions to enhance the capabilities of individuals and businesses. Your primary responsibility will involve collaborating closely with customers to support and facilitate embedded application development. By developing software applications that showcase Deep Learning use cases, particularly in vision analytics workloads, you will contribute to the advancement of edge AI technology. Additionally, you will be tasked with creating application notes and documentation on software tool flows, as well as conducting performance and power measurement and analysis of Embedded AI systems. Your role will also include devising communication plans and processes to efficiently prioritize customer issues and features. To excel in this position, you must possess a customer-centric approach with a proven track record of root-cause analysis and problem-solving. A Bachelor's Degree in Computer Science or Electronics, coupled with at least 5 years of experience, is required. Proficiency in building embedded software applications and programming languages such as Python, C, and C++, as well as experience with vision frameworks like OpenCV, gstreamer, and OpenCL, are essential qualifications. Strong problem-solving and communication skills are crucial for success in this role. Furthermore, preferred qualifications include strong analytical and quantitative skills, experience in video/multimedia/image processing software development, and exposure to Neural Networks, AI/ML/DL models, and frameworks like TensorFlow, Caffe, and PyTorch. Familiarity with driver development in Linux, MacOS, or Windows platforms, debugging hardware, and the ability to work independently or in collaborative team environments are advantageous. Joining Kinara means being part of an innovative environment that encourages creativity and growth. With a team of technology experts and mentors guiding passionate professionals, you will have the opportunity to work on challenging projects and share responsibilities. Your unique perspective and skills will be valued as you contribute to shaping the future of AI technology. Take the next step in your career and make a mark with Kinara we are excited to review your application and hear your story.,