Improve system stability, performance, traceability, alerting, and operational debuggability for high-scale workloads.
Partner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end user workflows.
Establish guardrails for analyzer rollout, including pre-merge validation, output-size controls, runtime/memory metrics, and production monitoring.
What we need to see
BS/MS 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 collaborating across teams and driving ambiguous technical work to completion.
Ability to balance new feature development with production stability, maintainability, and user support, while demonstrating agility and adaptability in a fast paced environment.
Experience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage.
Ways to stand out from the crowd
Background with self-driving car development, simulation, evaluation, or analysis workflows.
Experience with observability, performance profiling, resource usage analysis, and production reliability.
Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup.
#LI_Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
