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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Machine Learning Safety

Security Governance, Risk & CompliancePosted on Nov 2
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Electrical Engineering or Computer Science, or a related field, or equivalent experience.
  • At least 8 years of software engineering experience in C/C++.
  • Strong programming skills and a good grasp of hardware and software architectures.
  • Experience with software development processes and knowledge of Automotive SPICE and/or ISO 26262.
  • Significant experience defining processes for quality and safety conformance for mission-critical applications, and understanding ISO process standards, methodologies, audit expectations, and documentation standards.
  • Knowledge of ISO 26262 functional safety methodology and standards.
  • Strong communication skills, problem-solving skills, and the ability to learn and work effectively in a fast-paced, collaborative environment.
  • Advocate good programming and design practices, with high quality standards and a proven track record.

Responsibilities

  • Work with deep learning engineering teams to ensure software products and development processes meet automotive safety standards.
  • Promote a safety culture and guide development teams toward successful implementation of ISO 26262.
  • Influence next-generation software and hardware architecture from a safety perspective.
  • Drive and support engineering activities according to ISO 26262 standards during concept, design, development, and validation phases.
  • Support internal and external ISO 26262 process and product audits.

Desired Qualifications

  • Knowledge of Automotive SPICE methods, procedures, and tools, including requirements management, FMEA, and FTA.
  • Deep understanding of guidelines such as MISRA C++ and AUTOSAR C++14.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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