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Ml Compiler Engineer Jobs in Nevada (NOW HIRING)

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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 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 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 are popular job titles related to Ml Compiler Engineer jobs in Nevada? For Ml Compiler Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ml Compiler Engineer jobs in Nevada look for? The top searched job categories for Ml Compiler Engineer jobs in Nevada are:
Ml Compiler Engineer jobs near you
Infographic showing various Ml Compiler Engineer job openings in Nevada as of July 2026, with employment types broken down into 6% As Needed, 89% Full Time, 4% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Senior Software Engineer (Architecture)

Targeted Talent

Las Vegas, NV

$117K - $154K/yr

Full-time

Medical, PTO

Re-posted 9 days ago

Job description

About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities:

  • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
  • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
  • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
  • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
  • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
  • Work closely with other software and hardware engineers to develop the next generation of deep learning software.
  • Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience:

  • 10+ years of experience developing software for a variety of highly parallel architectures.
  • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
  • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
  • Understanding of Deep Learning fundamentals.
  • Strong development skills in C/C++, Python.
  • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
  • Computer Science, Engineering, or related degree; preferably MS or PhD.
  • Driven and self-directed.

Perks:

  • 20 vacation days
  • Strong health and extended health benefits
  • Unlimited sick days
  • Stock options

Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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