Engineering Manager, AI Compiler Analysis

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAAustin, TXSeattle, WA
Salary
$168,000–$270,250 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $219k
$154k $283k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $180,387–$236,437 — the blue band above. At the midpoint, this role pays about $219k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Engineering Manager, AI Compiler Analysis

The Engineering Manager, AI Compiler Analysis will lead and mentor a technical team responsible for verifying AI compilers for next-generation deep learning workloads, including LLMs and agentic AI systems. The role involves owning verification across the full compiler stack and execution pipeline, defining formal-verification requirements for transformations and generated GPU programs, and driving AI-assisted verification techniques. Key responsibilities include managing tensor semantics, code equivalence, and numerical behavior while partnering with CUDA, ML framework, and runtime teams to build scalable infrastructure. Candidates should possess experience with MLIR, TensorRT, XLA, Triton, PyTorch, or JAX. The work addresses technical challenges at the intersection of compilers, machine learning frameworks, numerical computing, and formal reasoning to ensure production confidence for complex AI-generated or adversarial workloads.

What does a Engineering Manager earn in California?

Median $279400 from 84 postings across 24 companies.

See salary data

What you'll do

  • Lead and mentor a technical team responsible for AI compiler verification.
  • Own the verification of next-generation AI workloads across the full compiler stack.
  • Define formal-verification requirements for compiler transformations and generated GPU programs.
  • Drive the use of AI-assisted verification techniques including fuzzing and symbolic reasoning.
  • Build scalable verification infrastructure to improve engineering velocity and production confidence.
  • Partner with software teams to ensure correct tensor semantics and numerical behavior.
  • Root-cause subtle regressions in production AI systems using computational methods and automated debugging.

What we're looking for

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • Total relevant software engineering experience.
  • At least 3 years of experience leading engineering teams or major technical initiatives.
  • Experience with AI compiler or framework technologies such as MLIR, TensorRT, XLA, Triton, PyTorch, or JAX.
  • Fluency with AI workload and ML framework concepts, including computation graphs, tensor operations, and training or inference workflows.
  • Strong people management skills, including hiring, mentoring, performance management, and team development.
  • Hands-on experience with deep learning compiler internals, including IRs, optimization pipelines, and code generation (preferred).
  • Background in formal verification or programming languages, including theorem proving, Lean, SMT/SAT solvers, or symbolic reasoning (preferred).

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