# Senior Software Systems Engineer, L3 and L4 - Autonomous Driving

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Systems-Engineer--L3-and-L4---Autonomous-Driving_JR2013922?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5497c433-a17

## Description

We are seeking a Senior Software Systems Engineer to join our team. As a Senior Software Systems Engineer, you will develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.

Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems.

Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.

Define and drive online and offline test strategy and execution at both vehicle and component levels.

Partner closely with Data Analytics, Test Engineering, and System Integration & Test teams.

Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams.

Drive innovation in requirements decomposition, traceability, and verification processes.

Promote and cultivate a strong systems engineering approach across the organization.

To succeed in this role, you should have:

- MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).

- 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.

- Strong software development background with proven coding skills.

- Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.

- Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.

- Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.

You will also be eligible for equity and benefits.

## Skills

### Required
- SOTIF analysis (ISO 21448)
- Functional safety (ISO 26262)
- Multi-functional architectural trade-off analysis
- Software development
- System analysis
- Data analysis
- Software architecture

### Nice to have
- Python
- SQL
- C++
- Large-scale datasets
- Data science
- Analytics workflows

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Systems-Engineer--L3-and-L4---Autonomous-Driving_JR2013922?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)