Senior Verification Engineer, Safety Evaluation - Autonomous Vehicles

Posted:
8/23/2024, 3:09:10 PM

Location(s):
North Carolina, United States ⋅ Florida, United States ⋅ California, United States ⋅ Georgia, United States

Experience Level(s):
Senior

Field(s):
Software Engineering

Workplace Type:
Remote

NVIDIA is widely considered to be a leader in autonomous drive technology employing some of the most innovative engineers and technologists. We are looking for a senior verification engineer to verify that our SW handles errors correctly and behaves safely across all operating conditions, enabling the next generation of safe, AI-powered autonomous driving systems. You will be part of a multi-functional team that coordinates and develops novel safety assurance methodologies, including definition of safety metrics, data and simulation driven safety verification of the entire autonomous driving system. In this role, you will focus on safety verification for Autonomous Driving continuously and at scale, generating structured evidence to support a safety case.

What You'll Be Doing:

  • Define safety verification plans and test cases across multiple integration levels and test platforms (e.g., vehicle, data replay, simulations)

  • Collaborate with architecture/safety/design/verification teams for execution and prioritization

  • Drive continuous improvement of methods, processes and tools for requirements- and data-driven safety evaluation of autonomous vehicles and ADAS

  • Provide high quality documentation and support for safety verification, including training for verification engineers as needed

  • Present safety evaluation results to key stakeholders and management to mitigate risks to the project.

\What We Need to See:

  • MS or higher in Computer Science, Robotics or equivalent experience

  • 8+ years of relevant industry experience in verification

  • A structured approach to system and software development

  • Excellent analytical and problem-solving skills

  • Strong written and verbal communication skills

Ways to Stand Out from the crowd:

  • V&V of safety-critical systems

  • Data science and statistics experience along with Programming skills in Python and C++

  • Experience in Safety, systems engineering, Machine Learning or Robotics

  • Sensor technologies, e.g. radar, lidar, camera

  • Worked on System safety methodologies & practices (FMEA, FTA, STPA,..) and Safety standards (ISO 26262, IEC 61508, UL4600, ISO21448,..)

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality