What is the salary for CUDA LLM Engineer at NVIDIA?

Listed range: $165k – $230k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the CUDA LLM Engineer role based?

Austin, TX, Austin (Texas). Work mode: Hybrid.

How do I apply to NVIDIA?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0024. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is NVIDIA hiring other AI roles?

NVIDIA (Hardware & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

CUDA LLM Engineer

NVIDIA· Austin, TX· Ref. EXP-2026-0024 4.5 (5,400 reviews)

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Salary: $165k – $230k / year
Type: Full-time
Location: Austin, TX · Austin (Texas) · Hybrid
Valid through: 11/3/2026

Additional details

Posted: Posted 1 day ago
Applications: 34; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Texas
Team: NVIDIA — AI team
Company size: 25000+
Founded: 1993

Job description

NVIDIA is hiring a CUDA LLM Engineer (Full-time) hybrid. This llm engineer role is part of the AI hiring market in Austin (Texas). Kernel and inference optimizations for LLM serving — Austin AI research lab. Listed compensation: $165k – $230k / year. Stack: CUDA, LLM, Inference, Austin.

LLM Engineer profiles are in high demand in Austin: Austin’s tech scene keeps growing with AI product, robotics, and data roles at scale-ups and enterprise R&D labs.…

The team

NVIDIA — AI team

Responsibilities

Deliver production ML/LLM capabilities with measurable quality bars
Partner with product and infra on roadmap and reliability
Document evals, monitoring, and rollout practices

Requirements

3+ years shipping ML, LLM, or data systems in production
Strong Python or TypeScript and clear written communication
Comfort with responsible AI and operational excellence

Tech stack

CUDALLMInferenceAustin

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — CUDA LLM Engineer

What is the salary for CUDA LLM Engineer at NVIDIA?: Listed range: $165k – $230k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the CUDA LLM Engineer role based?: Austin, TX, Austin (Texas). Work mode: Hybrid.
How do I apply to NVIDIA?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0024. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is NVIDIA hiring other AI roles?: NVIDIA (Hardware & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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