Top 55 Dynamic Compiler Expert Jobs

Compiler Engineer - AI Inference
NVIDIA —Santa Clara, CA
- $152,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Student Researcher - (Seed Infra-Compiler) - 2026 Start (PhD)
ByteDance —San Jose, CA
- $60 an hour
- Computer Science
- Research
- Computer networking
- Paid holidays
- Health insurance
Escalation Support Specialist (Automotive Customer Support)
Percepta —Dearborn, MI
- $21 an hour
- Full-time
- Hybrid work
- Mid-level
- Office
- 3 years
- Health savings account
- Paid holidays
Quick Apply
Student Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start (PhD)
ByteDance —San Jose, CA
- $60 an hour
- Computer Science
- System design
- Research
- Paid holidays
- Health insurance
Senior Quantum Software Engineer, Compiler
D-Wave Quantum Inc. —New Haven, CT
- $125,000 - $187,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Master's degree
Quick Apply
Edge ML Software Engineer (Compiler-PICO) - San Jose
ByteDance —San Jose, CA
- $212,800 - $450,000 a year
- Computer Science
- 3 years
- Master's degree
- Paid parental leave
- Paid holidays
Senior Principal Software Engineer - Compiler Development
Cadence Design Systems —Burlington, MA
- $140,000 - $260,000 a year
- Full-time
- 5 years
- Bachelor of Science
- Research
- Employee stock purchase plan
- Paid holidays
Senior HPC Performance Engineer
NVIDIA —California
- $184,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Senior Front-End Development Engineer
Blue Origin —Seattle, WA
- $197,529.00 - $276,539.55 a year
- Full-time
- Background check
- 7 years
- DOT physical examination
- Paid parental leave
- Paid holidays
Applications Engineering, Sr Staff Engineer- RTL-to-GDS/Fusion Compiler
Synopsys —Sunnyvale, CA
- $157,000 - $235,000 a year
- Master's degree
- 8 years
- Analysis skills
AI Model Optimization Architect
Qualcomm —San Diego, CA
- $158,400 - $237,600 a year
- Computer science
- Computer Science
- Doctor of Philosophy
Senior Solutions Architect, Datacenter CPUs
NVIDIA —Santa Clara, CA
- $184,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 8 years
Software Architect
Cadence Design Systems —San Jose, CA
- $178,500 - $331,500 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
- Employee stock purchase plan
- Paid holidays
Integrated Cyber Exploitation Researcher (Fort Meade, MD)
MIT Lincoln Laboratory —Fort Meade, MD
- $145,200 - $220,000 a year
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance
- Dental insurance
Cyber Systems Exploitation Researcher (Assoc, Fort Meade, MD)
MIT Lincoln Laboratory —Lexington, MA
- $116,400 - $182,200 a year
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance
- Dental insurance
Cyber Systems Exploitation Researcher
MIT Lincoln Laboratory —Lexington, MA
- $145,200 - $220,000 a year
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance
- Dental insurance
Embedded Systems Architect – Aerospace & Defense
Advanced Micro Devices, Inc —San Jose, CA
- Master's degree
- Analysis skills
- Product management
Applications Engineering, Scientist
Synopsys —Austin, TX
- $196,000 - $294,000 a year
- CAD
- System design
- 11+ years
CPU Memory Design Engineer
Intel —Austin, TX
- $122,440 - $232,190 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Master's degree
- Health insurance
Senior Software Engineer, CUDA Deep Learning Systems
NVIDIA —Austin, TX
- $184,000 - $356,500 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design

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Compiler Engineer - AI Inference

NVIDIA -
Santa Clara, CA

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Job Details

Full-time
$152,000 - $241,500 a year

Qualifications

Performance optimization
Test case design
Programming languages
C
Design (software development lifecycle)
Cross-functional communication

Full Job Description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.

NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale.

What you’ll be doing:

Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products.
Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon.
Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments.

What we need to see:

BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.
Compiler Experience: 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement.
MLIR Knowledge: Demonstrated, hands-on experience working with MLIR.
Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.
Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

Ways to stand out from the crowd:

Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.
LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.
Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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Refine Your Search

Dynamic Compiler Expert jobs

Compiler Engineer - AI Inference

Student Researcher - (Seed Infra-Compiler) - 2026 Start (PhD)

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Edge ML Software Engineer (Compiler-PICO) - San Jose

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Senior Software Engineer, CUDA Deep Learning Systems

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