NVIDIASenior Software Engineer, AV Analysis Platform
NVIDIA is hiring a Senior Software Engineer, AV Analysis Platform in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The listed pay starts 33% above the typical software engineer posting on Level.
- Tools and skills the posting cites include Python, Go and distributed systems.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted within the past week.
AI in this role
Build and scale evaluation and analysis infrastructure for autonomous vehicle development and ML model behavior.
NVIDIA is seeking a senior software engineer to help build and scale evaluation and analysis infrastructure for Autonomous Vehicle development. This role sits at the intersection of AV tooling, distributed systems, data platforms, and developer efficiency. You will develop and enhance systems that allow AV engineers to run AV log data analysis, assess model behavior, debug regressions, and produce critical metrics and insights at scale.
This engineer should be able to operate independently, partner deeply with senior technical leads, and bring clarity to complex platform decisions spanning evaluator execution at high-scale, performance tunings, structured outputs and output schema evolution, observability, and production readiness. This role directly improves how AV engineers examine autonomous driving performance, analyze regressions, validate analyzers, and trust the results produced by NVIDIA’s AV infrastructure. The ideal candidate will help make evaluation workflows faster, safer, more observable, and easier for teams to adopt.
What you'll be doing:
- 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/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 the pay of employees in similar positions. The base salary range 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 October 26, 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.How we rate this
Senior Software Engineer, AV Analysis Platform at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $224k
- Typical software engineer job
- $168k
This posting starts 33% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where evaluation infrastructure was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where apis was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Evaluation Infrastructure, Data Pipelines, APIs, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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