1 day ago
Base Salary
$224k - $357k/yr
Responsibilities
- Design and build evaluation and analysis tooling used by autonomous vehicle and machine learning engineers.
- Improve analyzer onboarding, execution, qualification, production observability, and rollout guardrails.
- Build reliable services, APIs, CI pipelines, and user-facing workflows across the stack.
- Define and evolve data contracts and structured schemas for tabular data, time-series data, metadata, and analyzer outputs.
- Improve stability, performance, traceability, alerting, monitoring, and operational debuggability for high-scale workloads.
- Partner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end workflows.
Requirements
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 12+ years of software engineering experience building production systems, developer tools, data platforms, or evaluation infrastructure.
- Strong programming skills in Python, Go, or similar languages.
- Experience designing distributed systems, workflow orchestration, APIs, backend services, or data pipelines.
- Ability to reason across systems software, data schemas, backend services, and user-facing tooling.
- Experience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage.
- Preferred experience with self-driving car development, simulation, evaluation or analysis workflows, observability, performance profiling, resource usage analysis, production reliability, or legacy-system modernization.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications accepted at least until October 26, 2026.
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.