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Ml Compiler Engineer Jobs in Texas (NOW HIRING)

General Motors

Senior ML Compiler Engineer

Austin, TX

$103K - $142K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. * Hands ...

Qualcomm

Compiler Tools Engineer

Austin, TX · On-site

$81K - $109K/yr

Improve ML compiler lowering and optimization pipelines for efficient execution on Qualcomm ... Strong programming skills in modern C/C++ and experience working in large software codebases * 5 ...

New

Ericsson

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Grow with us Senior Compiler Engineer Austin, Texas This is not a remote work opportunity. The ... The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and ...

Ericsson GmbH

Senior Compiler Engineer

Austin, TX · On-site

$140 - $190/hr

Grow with us Senior Compiler Engineer Austin, Texas This is not a remote work opportunity. The ... The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and ...

Tenstorrent

GCC Compiler Engineer

Austin, TX · On-site

$100K - $500K/yr

Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks. What You'll Learn * How compiler design directly impacts the performance and ...

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... ML frameworks (e.g., PyTorch, JAX, Triton) • Build and maintain test infrastructure to ensure ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. * Hands ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our ... Practical experience applying AI or ML-based tools to improve engineering workflows * Background in ...

Ericsson GmbH

Staff Compiler Design Engineer

Austin, TX · On-site

$230 - $320/hr

Grow with us Staff Compiler Engineer, Principal level Austin, Texas This is not a remote work ... The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and ...

Ericsson

Staff Compiler Design Engineer

Austin, TX · On-site

Grow with us Staff Compiler Engineer, Principal level Austin, Texas This is not a remote work ... The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and ...

SEMRON

Compiler Developer

Austin, TX · On-site

SEMRON is redefining what's possible in AI hardware, and they are seeking a Compiler Developer to ... Responsibilities : • building/maintaining SEMRON's ML compiling toolchain for our accelerator • ...

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Ml Compiler Engineer information

What does an ML Compiler Engineer do?

An ML Compiler Engineer designs and develops compilers and software tools that optimize machine learning models for deployment on various hardware platforms. Their work involves translating high-level ML code into optimized, low-level instructions that can run efficiently on CPUs, GPUs, or specialized accelerators. They collaborate closely with hardware engineers and ML researchers to ensure models execute quickly and accurately. Additionally, ML Compiler Engineers may work on improving performance, reducing memory usage, and supporting new ML frameworks or hardware.

What are some typical collaboration points between an ML Compiler Engineer and other teams during a project?

ML Compiler Engineers frequently collaborate with machine learning researchers to understand model requirements, with hardware engineers to optimize for specific accelerators, and with software developers to ensure seamless integration into production systems. This role often involves participating in cross-functional meetings, code reviews, and design discussions to align compiler optimizations with both hardware capabilities and end-user needs. Effective communication and teamwork are essential, as these engineers play a central role in bridging the gap between algorithm design and efficient execution on target platforms.

What are the key skills and qualifications needed to thrive as an ML Compiler Engineer, and why are they important?

To thrive as an ML Compiler Engineer, you need a strong background in computer science, compiler design, machine learning concepts, and typically a degree in computer science or a related field. Familiarity with tools like LLVM, MLIR, TensorFlow XLA, and programming in C++ and Python is often required, along with experience in optimizing machine learning workloads. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set top professionals apart. These skills ensure efficient translation and optimization of ML models for diverse hardware, enhancing performance and scalability.

What is the difference between Ml Compiler Engineer vs Machine Learning Engineer?

AspectMl Compiler EngineerMachine Learning Engineer
Required SkillsProgramming, compiler design, optimization, ML frameworksData analysis, model development, programming, ML frameworks
Work EnvironmentResearch labs, tech companies, AI hardware firmsTech companies, startups, data-driven organizations
CertificationsComputer science, software engineering, specialized compiler coursesMachine learning, data science, AI certifications
Industry UsageAI hardware, software optimization, ML infrastructureModel development, deployment, data analysis

While both roles involve machine learning, Ml Compiler Engineers focus on optimizing ML models through compiler design and software performance, whereas Machine Learning Engineers develop and deploy ML models for applications. The roles often overlap in skills but differ in their primary focus areas.

What are popular job titles related to Ml Compiler Engineer jobs in Texas?

For Ml Compiler Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ml Compiler Engineer jobs in Texas look for?

The top searched job categories for Ml Compiler Engineer jobs in Texas are:

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Cities in Texas with the most Ml Compiler Engineer job openings:

Ml Compiler Engineer jobs near you
Infographic showing various Ml Compiler Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior ML Compiler Engineer

Austin, TX

General Motors
Transportation Equipment Manufacturing • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

3rd of 45 rated automakers

People enjoy working here

Good employer

Paid breaks

Learn more about General Motorsexternal

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Job Description

AbouttheMission

GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies,including Level 4-capable fully self-drivingsystems,tomove us toward safer, more sustainable, and more accessible mobility.

For theAIKernels & Compilers team, that mission shows up in the details: turning cuttingedgeperception, prediction, and planning research into productiongrade software that can run efficiently and reliably on real vehicles at scale. We pioneernew approachesto model export,kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and react to the world - whileoperatingatthesafety,reliabilityand scaleof a company like GM - this is where that impact becomes real.

About the Team

The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns highlevel models into fast, reliable inference across GPUs powering GM's nextgeneration autonomous and assisted driving features.

Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of onvehicle workloads while preserving correctness and robustness in realworld conditions. We partner closely withAI Deployments,AI Solutions, Runtime, andAI Kernelsteams to codesignaplatform thatenablesnew ideasin researchto bequickly and safelyshippedto production fleets.

You'lljoin a group ofdeepcompiler, systems, and GPU engineerswho enjoyworking onhard problems,anddiving into MLIR/ONNXand CUDA/TensorRTinternals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving.

The Role

As aSeniorCompiler Engineer on the AI Kernels & Compilers team, you willwork on thecompilation stack that takes highlevel models and turns them into highly optimized inference artifacts running on GM's autonomous and assisted driving platforms.You'llbe a key contributor to a pipeline andtooling that makesthat path fast, reliable, andeffortlessfor ML engineers across the AV organizationto compile their models.

You willwork on an evolvinga state-of-the-artmodel export and compilation pipeline-from capturing highlevel model graphs, through intermediate representations and compiler transforms, into acceleratorspecific inference engines and their integration with our runtime-so that we can simultaneouslyoptimizecompilation throughput, model fidelity, and onvehicle latency. Along the way,you'llbuild robust tooling tovalidatenumerical correctness,detectand bisect performance regressions, and surface clear, actionable diagnostics back to model authors.

If you want to work at the intersection ofcompilers, performance engineering, and realworld autonomy, this role puts your decisions directly on the critical path of what runs on the car.

Whatyou'llbe doing (Responsibilities)

  • Buildand evolvethe model compilation toolchain used to deploy largescaleperception, prediction, and planning models to the AV.

  • Architect new compiler passes and analysisthat improve build times, memory footprint, and runtime latency while preserving-or intentionally trading off-fidelity under strict safety and reliability constraints.

  • Collaborate closely with kernels, runtime, and hardware teamsto codesign interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.

  • Set standards and best practicesfor model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.

Your Skills & Abilities (Required Qualifications)

  • 3+ years of experience in the field of compilers

  • Experience with ML frameworks (e.g.,PyTorch, TensorFlow, JAX) and software stack (e.g.,ONNX,MLIR, XLA, TVM,TensorRT,etc)

  • Expertisein writing production quality Python/C++ code

  • Expertisein the software development life-cycle - coding, debugging, optimization, testing, integration

  • BS, or higher degree, in CS/CE/EE, or equivalent

What Will Give YouACompetitive Edge (Preferred Qualifications)

  • Experience building andoptimizingONNXbasedmodelexport and deployment pipelines

  • GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS)

  • Experience with ML accelerators and hardware architecture

  • Experience developing and deploying machine learning models

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role: is$128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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