Senior Software Engineer, AV Analysis Platform

NVIDIA•Santa Clara, CA

1d•$224,000 - $356,500

About The Position

NVIDIA is seeking a senior software engineer to build and scale evaluation and analysis infrastructure for autonomous vehicle development. The role brings together AV tooling, distributed systems, data platforms, and developer efficiency. The engineer will develop systems that enable AV engineers to analyze AV log data, assess model behavior, debug regressions, and generate critical metrics and insights at scale. The engineer is expected to work independently and partner with senior technical leads on complex platform decisions, including high-scale evaluator execution, performance tuning, structured outputs and schema evolution, observability, and production readiness. The work will improve how AV engineers examine autonomous driving performance, investigate regressions, validate analyzers, and rely on results from NVIDIA’s AV infrastructure. The goal is to make evaluation workflows faster, safer, more observable, and easier to adopt.

Requirements

Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
12 or more 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 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.

Nice To Haves

Background in 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.

Responsibilities

Design and build evaluation and analysis tooling used by AV and ML engineers.
Improve analyzer workflows, including onboarding, execution, qualification, and production observability.
Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.
Define and evolve data contracts for analyzer outputs, including structured schemas, tabular data, time-series data, and metadata.
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 and memory metrics, and production monitoring.