NVIDIA Logo

NVIDIA

Senior Platform Safety Analysis Engineer, DRIVE Platforms - Autonomous Vehicles

Posted 8 Hours Ago
Be an Early Applicant
In-Office or Remote
2 Locations
148K-288K
Senior level
In-Office or Remote
2 Locations
148K-288K
Senior level
Develop functional safety requirements for NVIDIA's autonomous platforms, collaborating with safety engineers and integrating applications with platform services.
The summary above was generated by AI

NVIDIA – “the AI computing company” is developing a ground-breaking AI-based full stack for autonomous transportation and base platform to support it. This requires a ground-breaking approach to functional safety in the underlying DRIVE platform, including scheduling and management of synchronization and diverse HW compute engines, full platform error reporting and degradation, system state management and fail-operational features. Be ready to question established practices which may no longer be applicable!

We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving platforms. The focus is on functional safety of the compute, communications, and software platform on which NVIDIA's autonomous products are built. Do you have a desire to work at the confluence of NVIDIA's application stack and the OEM vehicle platforms? Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with all our customers!

What you'll be doing:

  • Work closely with other teams of safety engineers both at NVIDIA and our customers to derive Compute Platform Safety Requirements through analysis of Technical Safety Requirements and the capabilities of the underlying hardware and software.

  • Analyze and refine the safety architecture down the left side of the V-Model by establishing requirement traceability from the Application to the DRIVE Platform.

  • Develop technical safety concepts (TSC, TSRs, SSRs) for Platform software functions such as state management, error and degradation, graph execution, sensor processing, and start-up / shutdown functionalities.

  • We will look to you to ensure the integration of the Autonomous Driving Applications and the underlying platform services meet all defined safety goals.

  • Find opportunities for innovation and automation to improve efficiency.

What we need to see:

  • BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience

  • 5+ years (or equivalent) experience in systems architecture or related fields.

  • We seek technically strong engineers who bring experience in safety analysis of embedded systems at low level and can find the right level of abstraction adapted to the tasks in hand.

  • Experience with safety analysis methods (e.g. FMEA, FTA) for complex software and hardware platforms.

  • Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448)

  • Experience in the redaction of safety requirements and/or other safety collateral such as safety manuals and safety reports in an agile environment

Ways to stand out from the crowd:

  • Hands-on experience with systems engineering methodologies such as model-based approaches, peer review processes, risk management, requirements verification and traceability, validation and verification, and architectural decomposition.

  • Strong background in software & hardware automotive ECU architecture. Experience in development of safety architectures for Sensor subsystems (Camera, LIDAR, Ultrasonics, Radar)

  • Ability to understand and perform high-level, safety orientated, analysis of modern C++ codebases and API specifications at different levels

  • Knowledge of embedded operating systems (e.g. QNX) is especially valued.

  • Track record of adaptation of common safety standards to AI-based and high complexity systems.

The base salary range is 148,000 USD - 287,500 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.

Top Skills

C++
Iec 61508
Iso 26262
Iso/Pas 21448
Qnx

Similar Jobs

19 Minutes Ago
Remote or Hybrid
Santa Clara, CA, USA
164K-286K Annually
Senior level
164K-286K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop high-quality code and collaborate on AI-powered products. Mentor colleagues and enhance existing software with machine learning capabilities.
Top Skills: Ai Productivity ToolsJavaPythonReact
19 Minutes Ago
Remote or Hybrid
San Diego, CA, USA
147K-258K Annually
Senior level
147K-258K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Manage and maintain VMware environments, assist in migration to RHOSP, automate operations, and troubleshoot virtualization incidents.
Top Skills: AnsibleBashEsxiPythonRed Hat OpenstackRhelTerraformVcenterVMwareVsphere
26 Minutes Ago
Easy Apply
Remote
3 Locations
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.
Top Skills: GraphQLVue

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account