SDV Automated Driving Compute System Computer Science Engin...

SDV Automated Driving Compute System Computer Science Engineer
General MotorsWarren, MIInvalid date
Job Description



This is a remote position, the selected candidate can reside and perform the work from anywhere within the United States.




We are influencing the transformation of future transportation with ADAS and Automated Driving. The Automated Driving Compute System Architecture team is focused on definition, design, analysis, and approval of leading-edge silicon for those functions. Those System on Chip (SoC) consist of various compute capabilities including CPU, GPU, Image Signal processing (ISP) pipelines and Machine Learning Accelerator (MLA)].



We are looking for an experienced, high-performing Computer Science Engineer to support the Software Defined Vehicle (SDV) Automated Driving Compute Platform, who will be responsible to enable GM's safety-critical ADAS compute technology roadmap and controllers. The position provides for a unique experience that includes the combination of advanced silicon performance analysis and definition, and involvement in cutting edge technology. This experience includes exposure to high level management as well as opportunities to work with experts in the field of controls.



Responsibilities Include:

  • Perform SoC architectural analysis and modeling, focusing on forecasting CPU, data bus bandwidth, memory utilization, ISP bandwidth, and utilization of other resources across various subsystems on the SoC

  • Perform detailed analysis of the existing software to provide workload characterizations/loading to assist in SoC resource utilization by deploying tools to benchmark

  • Make architectural recommendations to improve performance and memory utilization, as well as software optimizations and SW/HW partitioning

  • Develop tools and processes, as needed, for SoC performance modeling

  • Adapt existing tools and/or design and implement a new framework for composing small standalone microkernels into a system level benchmark suite

  • Using high level languages such as Python or Javascript, implement a framework to orchestrate lower-level (native CPU, GPU or accelerator based) high performance libraries, generating input data on the fly, checking results correctness, injecting errors during execution, and collecting detailed execution logs for post-processing

  • Use meta-programming to overload conventional language syntax to transparently execute work kernels asynchronously and/or execute on an accelerator. Use Service Oriented Architectures (Publish/Subscribe frameworks) to communicate between and synchronize compute kernels and I/O loads

  • Support RFI reviews with silicon suppliers as needed

  • Develop standardized internal analysis for benchmarking SoCs & DLAs

  • Compute resource utilization analysis and allocation

  • Analyze ADAS feature workload allocation into target SoC

  • Lead compute feasibility studies for future product with little or ambiguous information

  • Communicate information to and from internal and external customer organizations



Additional Job Description




Basic Qualifications:


  • Bachelor of Science degree in Electrical Engineering, Software Engineering, Computer Science or related technical degree

  • Minimum of 3 years experience in computer engineering

  • Experience implementing software tools written in high level scripting languages such as Python, Javascript, etc.

  • Automatic instrumentation of source code for performance analysis

  • Experience processing multi-gigabyte logs

  • Familiarity with machine learning frameworks like TensorFlow and PyTorch

  • Exposure to "hard real-time" processing (i.e. Enforcing strict time & space limitations)

  • Experience with Publish/Subscribe frameworks

  • Knowledge of deep machine learning and/or artificial intelligence on smart machines

  • Strong leadership, organizational, analytical, interpersonal and communication (oral & written) skills



Preferred Qualifications:


  • Master's degree in Engineering or Computer Science

  • Design/Development of Safety Critical Systems/Components

  • Experience with Automated Driving sensors (Cameras, Lidars, Radars, Ultrasonic Sensors) a plus

  • DFMEA training and DFSS Certification

  • Knowledgeable about microprocessor design and theory

  • Knowledgeable about embedded system & software as it pertains to engineering of required tools



Compensation:
The median level of salary compensation for this role is $113,760.00



Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.



Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.



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About GM



Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.



Why Join Us



We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.



Benefits Overview



The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

  • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
  • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
  • Company and matching contributions to 401K savings plan to help you save for retirement;
  • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
  • Tuition assistance and student loan refinancing;
  • Discount on GM vehicles for you, your family and friends.



Diversity Information




General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.GM is proud to be an equal opportunity employer.



We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.



Equal Employment Opportunity Statements



The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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