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Junior Machine Learning Compiler Engineer Jobs in Texas

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

Familiarity with deep learning frameworks and neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom ...

Qualcomm

Compiler Toolchain Engineer

Austin, TX · On-site

$98K - $148K/yr

... for machine learning, wireless communication, audio, and image processing applications on the ... We are looking for compiler engineers who will help us build these software platforms. In this role ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...

Nvidia

Senior Compiler Engineer - Rust GPU

Austin, TX

$121K - $160K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... CUDA PTX and machine code. * Build compiler IRs and Optimizers: Work with modern compiler ...

General Motors

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... Experience developing and deploying machine learning models Compensation: The compensation ...

Targeted Talent

Compiler Tech Lead

Dallas, TX · On-site

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future ...

Dow

Machine Learning Engineer

Houston, TX · On-site

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... This position is an Independent Contributor; however, you may act as coach and mentor to junior ...

Dow

Machine Learning Engineer

Houston, TX · On-site

$120 - $160/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... This position is an Independent Contributor; however, you may act as coach and mentor to junior ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · Hybrid

$161K - $218K/yr

We're looking to hire a junior to mid-level candidate to join out GPU Architecture team at Arm in ... What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

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Junior Machine Learning Compiler Engineer information

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Texas? The most popular types of Machine Learning Compiler Engineer jobs in Texas are:
What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Texas? For Junior Machine Learning Compiler Engineer jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Junior Machine Learning Compiler Engineer jobs? Cities in Texas with the most Junior Machine Learning Compiler Engineer job openings:
Junior Machine Learning Compiler Engineer jobs near you

Staff Compiler Engineer

Neurophos Inc

Austin, TX • On-site

$250K - $315K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About Neurophos
The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach.
Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.
We've assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.
Join us and shape the future of computing!
Position Overview:
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 architecture. This is one of several software stacks that seamlessly bridge high-level AI workloads with our custom hybrid optical-electronic compute hardware, enabling customers to realize game-changing performance.
Location: San Jose, CA or Austin, TX. Full-time onsite position.
Key Responsibilities:
  • Design and implement toolchains for our custom LLM accelerator architecture
  • Develop optimization strategies that bridge software algorithms to hardware implementations
  • Design and implement custom compiler components, including IR dialects, graph transformations, and lowering passes
  • Optimize computational graphs and memory access patterns for our hardware architecture
  • Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton).
  • Build and maintain test infrastructure to ensure compiler correctness and performance

Qualifications:
  • Master's degree in Computer Science or related field
  • 5+ years of experience in compiler development
  • Expert-level proficiency in Python and C
  • Experience with hardware compilers
  • Familiarity with Large Language Model architectures and their computational requirements
  • Hands-on experience with compiler frameworks and code optimization techniques
  • Deep understanding of computer architecture, memory hierarchies, and parallel computing concepts
  • Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Preferred Skills:
  • PhD in Computer Science or related field
  • 7+ years of industry experience
  • Strong background in graph theory and graph transformations in a compiler or optimization context; MLIR experience is a plus
  • Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees
  • Experience in instrumenting and debugging parallel programs
  • Experience with structured, human-supervised AI/agentic coding workflows
  • Experience with LLM quantization techniques and model optimization
  • Experience with high-performance computing and low-latency system design
  • Familiarity with deep learning frameworks and neural network optimization

Technical Skills
  • Programming Languages: Python and C (essential), Assembly
  • Compiler Frameworks: LLVM, MLIR, GCC, custom backend development
  • Graph Theory: Graph algorithms, graph rewriting systems, DAG optimization
  • AST Processing: Parsing, analysis, and transformation of abstract syntax trees
  • Testing & QA: pytest, GoogleTest, or similar frameworks; static analysis tools
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar systems
  • LLM Technologies: Transformer architectures, attention mechanisms, quantization techniques
  • Development Tools: CMake, Git, Docker
  • Parallel Tools: Profilers, debuggers, and instrumentation for parallel/concurrent programs

Technical Environment
  • Languages: Python and C (primary), Assembly for low-level optimization
  • Compiler Tools: LLVM, MLIR, GCC, custom compiler backends
  • Testing: Automated test suites, continuous integration pipelines
  • Frameworks: PyTorch/JAX/Triton integration, custom inference engines
  • Focus Areas: Compiler backend development, optimization passes, hardware-software co-design

What We Offer
This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on game-changing technology at the intersection of photonics and AI as part of a collaborative, brilliant team. You'll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.
Benefits
Join a team that invests in your future and your well-being. At Neurophos, we offer:
  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.
  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.
  • 401(k) matching and stock option opportunities to ensure our success is your success.
  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.
  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don't.

Apply