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Junior Machine Learning Compiler Engineer Jobs in Texas

Tenstorrent

GCC Compiler Engineer

Austin, TX · On-site

$100K - $500K/yr

We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next ... machine learning workloads. This role isHybrid, based out of Santa Clara, CA, Austin, TX, or ...

Ericsson

AI Compiler Engineer

Austin, TX · On-site

Grow with us AI Compiler Engineer - Research Team Austin, Texas This is not a remote work ... Concurrency & Memory Modeling - Orchestrate the Machine There's no virtual memory here. No garbage ...

Ericsson

AI Compiler Engineer

Austin, TX · On-site

Grow with us AI Compiler Engineer Austin, Texas Research Team This is not a remote work opportunity ... Concurrency & Memory Modeling - Orchestrate the Machine There's no virtual memory here. No garbage ...

NVIDIA

Senior Compiler Engineer Infrastructure

Austin, TX · On-site

$107K - $146K/yr

NVIDIA is a leading technology company focused on innovation in areas like Artificial Intelligence and Deep Learning. They are seeking an experienced Compiler Infrastructure Engineer to join their ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...

NVIDIA

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... learning frameworks and performance‑critical workloads on NVIDIA GPUs Company : NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the ...

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 ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX · On-site

$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 ...

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

$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 ...

Apply Early

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

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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:
What job categories do people searching Junior Machine Learning Compiler Engineer jobs in Texas look for? The top searched job categories for Junior Machine Learning Compiler Engineer jobs in Texas are:
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

GCC Compiler Engineer

Tenstorrent

Austin, TX • On-site

$100K - $500K/yr

Full-time

Posted 14 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads.
This role isHybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
  • Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
  • Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
  • Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
  • Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

What We Need
  • Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent's custom RISC-V hardware and AI vector engines.
  • Contribute to the co-design of Tenstorrent's hardware and software stack to maximize performance and programmability.
  • Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
  • 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 efficiency of next-generation RISC-V and AI architectures.
  • Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
  • Integration of custom compilers with leading ML frameworks and runtime environments.
  • The end-to-end toolchain flow that enables Tenstorrent's scalable, high-performance AI compute systems.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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