1

Junior Machine Learning Compiler Engineer Jobs in Texas

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Concurrency & Memory Modeling - Orchestrate the Machine There's no virtual memory here. No garbage ... This is production compiler engineering in the truest sense. Join our Team What You Bring MLIR ...

The Role As a Staff Compiler Engineer on the AI Kernels & Compilers team, you will own the endtoend ... Experience developing and deploying machine learning models Compensation: The compensation ...

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 ...

Compiler Software Engineer

Austin, TX · On-site

$130K - $171K/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 ...

Lead 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 ...

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 ...

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 ...

Senior Staff Engineer - AI Compiler

Austin, TX · On-site

$103K - $142K/yr

Concurrency & Memory Modeling - Orchestrate the Machine There's no virtual memory here. No garbage ... This is production compiler engineering in the truest sense. What happens once you apply? Click ...

Senior AI Compiler Engineer, MLIR

Austin, TX

$121K - $160K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ...

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 ...

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 ...

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...

They are seeking an experienced Machine Learning Engineer to design, implement, and optimize machine learning models for autonomous systems, while collaborating with cross-functional teams to ...

next page

Showing results 1-20

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 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:
Senior AI Compiler Engineer

Senior AI Compiler Engineer

Ericsson

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Ericsson rating

9.3

Company rating: 9.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 76 rated telecommunications companies


Job description

Grow with us
Senior AI Compiler Engineer - Research Team
Austin, Texas
This is not a remote work opportunity.
MLIR Architecture | Compiler Infrastructure | 5G/6G Silicon | Bare-Metal AI
The Mission
Most AI compiler engineers optimize models for GPUs that already exist. You're going to optimize them for silicon that doesn't yet.
As our Senior AI Compiler Engineer, you're not porting a framework, tweaking a runtime, or wrapping CUDA libraries. You're doing something far rarer and far harder - building a complete MLIR-based compiler stack from the ground up, purpose-built to run massive AI models like Llama 3 on bare-metal 5G/6G telecommunications silicon, where there's no OS to bail you out and every byte of memory is accounted for.
The gap between a research model and hardware-optimized silicon execution is one of the most technically brutal problems in the industry right now. You'll be the engineer who closes it.
What You'll Actually Be Doing
MLIR Architecture - Own the Stack
You'll design and implement custom MLIR dialects from scratch - TableGen definitions, transformation passes, and the dialect conversion infrastructure that bridges the world of high-level AI graphs and the cold, hard reality of custom silicon. This is greenfield compiler work at its most consequential.
Lowering & Legalization - Zero Tolerance for Approximation
Take high-level computational graphs exported from JAX and StableHLO and lower them, step by step, into hardware-specific IR without losing a single bit of mathematical fidelity. Every op must legalize. Every semantic must survive the descent.
Concurrency & Memory Modeling - Orchestrate the Machine
There's no virtual memory here. No garbage collector. No safety net. You'll build static scheduling and tiling passes that choreograph data movement between HBM and on-chip local memory with surgical precision - because on this hardware, getting it wrong isn't a performance regression, it's a failure.
Production C++ - Code That Ships to Silicon
You'll maintain a high-performance, modular, LLVM-based compiler codebase where correctness and determinism aren't aspirational - they're required. This is production compiler engineering in the truest sense.
Join our Team
What You Bring
MLIR Mastery - You've built custom passes and dialect conversions, written TableGen definitions, and navigated the full complexity of the MLIR framework in a real production context
Compiler Fundamentals - Deep, hands-on C++ and LLVM expertise: IR structure, pass pipelines, and code generation pipelines that actually ship
Framework Integration - You've exported and lowered real models from JAX, PyTorch, or TensorFlow - you understand the gap between a research checkpoint and a deployable IR
Dialect Expertise - You know StableHLO or XLA at the op-semantics level, not just the API surface
What Makes You Exceptional:
Experience targeting Embedded DSP or VLIW architectures - instruction scheduling, register pressure, the works
Advanced optimization depth: loop tiling, vectorization, quantization lowering, fixed-point arithmetic
Hardware-level awareness of DMA engines, multi-level memory hierarchies, and complex number handling in MLIR - the stuff most compiler engineers never touch
Why This Role Is Different
This isn't a "make the existing thing faster" role. There is no existing thing. You'll be writing the compiler that a brand-new class of 5G/6G AI silicon runs on - and the decisions you make at the IR level will directly shape what that hardware can and can't do for the next generation of telecommunications infrastructure.
If you've ever wanted to work on a problem where the compiler, the hardware, and the research are all moving simultaneously - and where your code will eventually run at the edge of the global wireless network - this is that problem.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: USA || Austin, Texas
Job details: Developer
Primary Recruiter: Jim Everett
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience
Your Health
Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.
Your Financial Security
We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson's full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson's Stock Purchase Plan.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.