4 days ago
Base Salary
$272k - $431k/yr
Responsibilities
- Design and build simulation and evaluation infrastructure for autonomous driving and robotics development.
- Develop efficient AV evaluation data formats using technologies such as Protobuf, Apache Arrow, Parquet, and MCAP.
- Build reliable services, APIs, data pipelines, and distributed simulation and evaluation workflows at very large scale.
- Optimize system performance through profiling, parallelization, memory efficiency, query optimization, and protocol redesign.
- Create diagnostic and observability tooling for debugging data and test pipelines.
- Drive adoption of standards and technologies in the physical AI tooling ecosystem.
- Lead cross-functional technical projects and influence teams across organizational boundaries.
Requirements
- Bachelor’s or master’s degree in Computer Science or equivalent experience.
- 15+ years of professional software engineering experience focused on distributed systems and data-intensive applications.
- Proficiency in Go, Python, or Java and experience across the full backend stack.
- Deep experience building high-performance, low-latency data systems involving binary serialization, data encoding, and columnar formats.
- Strong understanding of distributed systems, concurrency, consistency tradeoffs, latency optimization, and compute-efficient design.
- Experience identifying and resolving performance bottlenecks across system stacks, including protocol and data-model redesign.
- Experience designing and implementing workflows across distributed systems.
- Demonstrated success building foundational, highly reliable systems used by multiple teams at scale.
- Strong communication skills for translating complex system designs to technical and non-technical partners.
- Ability to lead cross-functional projects and influence without authority.
- Preferred experience with workflow orchestration systems such as Temporal.io, sensor data pipelines, ROS, MCAP, AV logs, Parquet, or Apache Arrow.
- Preferred understanding of AV and robotics concepts including kinematics, control systems, computer vision, motion planning, and neural networks.
- Preferred experience improving legacy systems through incremental migration, deprecation, and architecture cleanup.
Benefits
- Competitive base salary of $272,000–$431,250, plus equity and benefits.
- Comprehensive benefits package for employees and families.
- Applications accepted at least until November 6, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.