Nissan Motor Corporation

AI Hardware Accelerator Research Engineer

No longer accepting applications

Nissan is looking for a superstar AI hardware accelerator research engineer, both aspiring and well-established, for immediate assignment to the Nissan Advanced Technology Center - Silicon Valley (NATC-SV). NATC-SV is a multi-disciplinary organization that recognizes the need to bring together a diverse R&D team to challenge the current state of automotive technology. From developing behavior-aware autonomous driving systems, to personalizing BEV energy management, to designing new experiences for future vehicle concepts, NATC-SV staff are pushing boundaries in the pursuit of improving mobility for everyone. Each member of the team has the opportunity to drive us into the future through his or her passion, creativity, and determination.

Job Responsibilities

As an AI hardware accelerator engineer/researcher, you will:

  • Collaborate with a team of world-leading experts in the fields of AI and robotics to realize advanced technology concepts.
  • Build brand new protypes and proofs-of-concept, working across all stages of ideation, target setting, architecture design, agile development, integration, and validation.
  • Uncover opportunities for improving the performance through parameter optimization, re-configuration, re-design, and introduction of new software modules.
  • Implement principled methods to real vehicles, ultimately testing your hardware on the road.
  • Communicate your work effectively through documentation, presentations to your peers, and reports to stakeholders.
  • Continuously expand your technical toolset and knowledge and of the state of the art by investigating third-party tools and open-source libraries, reading papers, forming connections with academic and industry research networks, and attending conferences when relevant.

Job Knowledge and Skills:

Requirements For You To Succeed In This Role

  • Mater's degree required with 7 10 years of relevant experience Relevant degrees: Computer Science, Computer Engineering, Electrical Engineering or related discipline.
  • Experience in fundamental blocks for hardware acceleration for AI/ML/LLM.
  • Comfortable mapping mathematical algorithms to hardware.
  • Experience developing Instruction Set Architecture (ISA) suitable for programmable solutions in specialized acceleration. Strong coding skills in C/C++
  • Experience profiling and optimizing for cache and memory.
  • Comfortable exploring design space with FPGA implementations.

Ways to stand out from the crowd

  • Competence in ARM IP, ARM tools, AXI, CHI, PCIe/CXL and UXL
  • Strong coding skills in Verilog and SystemVerilog
  • Deep understanding of verification, UVM/OVM, formal methods
  • Experience with tools for Power, Performance, Area analysis for final SoC.
  • Experience with VCS
  • Experience with ROS and/or with robots, vehicles, or other physical systems.
  • Active contributions to the open source community.

With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting. From the sleek design of our vehicles to the unique opportunities we offer around the globe, Nissan exemplifies ingenuity in everything we do. Our people are what drive the business forward.

Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.

All of us at Nissan - regardless of functional area or expertise - share a passion to design, manufacture, and sell high-performance vehicles. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

NISSAN FOR EVERYONE

People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.

Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - build allies, and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to diversity and inclusion into the future.

Santa Clara California United States of America

Salary Range:

$100,917.00 - $230,589.00

Salary Range Estimate: Annual Salary: (Minimum to Maximum of Salary Range noted here). This compensation range represents the minimum and maximum base salary rates at Nissan for jobs assigned to this particular grade level. Please note that it is uncommon for an employee to be placed at either end of the range. Rather, an employee's actual base salary generally may fall somewhere in between and reflect the employee's unique skills, work experience, education, work location, and market norms. Additionally, pay may be based on comparisons to the base salary rates of other employees with similar backgrounds working in comparable roles.
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Motor Vehicle Manufacturing

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