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Compiler Jobs in Natick, MA (NOW HIRING)

Draper

Senior Cyber Effects Engineer

Cambridge, MA · On-site

Experience in compiler toolchain development such as building custom LLVM passes. Experience with leveraging the different stages of compilation i.e. intermediate representation. * Experience in ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Compiler infrastructures, particularly for domain-specific languages * Data modeling, particularly intermediate representations for optimizing or transforming compiler passes * Test-driven ...

Draper

Senior Cyber Effects Engineer

Cambridge, MA · On-site

$82.30 - $220/hr

Experience in compiler toolchain development such as building custom LLVM passes. Experience with leveraging the different stages of compilation i.e. intermediate representation.Experience in ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Compiler infrastructures, particularly for domain-specific languages * Data modeling, particularly intermediate representations for optimizing or transforming compiler passes * Test-driven ...

SiFive

Interconnect Design Engineer

Boston, MA

Compiler infrastructures, particularly for domain-specific languages * Data modeling, particularly intermediate representations for optimizing or transforming compiler passes * Test-driven ...

SiFive

Interconnect Design Engineer

Boston, MA · On-site

Compiler infrastructures, particularly for domain-specific languages * Data modeling, particularly intermediate representations for optimizing or transforming compiler passes * Test-driven ...

Draper

Senior Cyber Effects Engineer

Cambridge, MA

Experience in compiler toolchain development such as building custom LLVM passes. Experience with leveraging the different stages of compilation i.e. intermediate representation. * Experience in ...

V2X

Software Engineer - Harvard, MA

Boston, MA · Hybrid

Experience with C or C++ development on Linux/Unix systems, including use of common compiler and build tools. * Familiarity with UI development concepts, including MVC design patterns, JavaScript ...

Draper

Principal Cyber Effects Engineer

Cambridge, MA · On-site

Experience in compiler toolchain development such as building custom LLVM passes. Experience with leveraging the different stages of compilation i.e. intermediate representation. * Experience in ...

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Compiler information

See Natick, MA salary details

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How much do compiler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for compiler in Natick, MA is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a compiler?

To thrive as a Compiler Engineer, you need a strong background in computer science, programming languages, and compiler theory, often supported by a relevant degree. Familiarity with tools like LLVM, GCC, and experience with languages such as C/C++ or Rust are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills in this field. These skills ensure the development of efficient, reliable compilers that support robust software and systems development.

What are the common challenges faced when working as a compiler engineer, and how can they be addressed?

Compiler Engineers often encounter challenges such as optimizing code for performance, ensuring compatibility across various hardware architectures, and maintaining the correctness of complex transformations. Debugging and diagnosing issues in the compilation process can be particularly intricate, requiring a strong understanding of both source and target languages. Collaborating closely with language designers and hardware engineers, as well as utilizing automated testing and profiling tools, helps address these challenges and results in more robust and efficient compilers.

What is a compiler?

A compiler is a specialized computer program that translates source code written in a high-level programming language into machine code or another lower-level language that a computer can execute. This process allows developers to write code in languages like C++, Java, or Python, which are easier for humans to understand, and then have it converted into instructions that hardware can process. Compilers perform various tasks such as syntax analysis, optimization, and code generation to ensure the resulting program runs efficiently and correctly.

What is the difference between Compiler vs Interpreter?

AspectCompilerInterpreter
FunctionTranslates entire code into machine language before executionTranslates code line-by-line during execution
SpeedFaster execution after compilationSlower due to real-time translation
UsageUsed in languages like C, C++Used in languages like Python, JavaScript
ErrorsErrors are found after compilationErrors are detected during execution
OutputProduces standalone executable filesRuns directly from source code

In summary, a compiler translates the entire program into machine code before execution, resulting in faster runtime and standalone files. An interpreter translates code line-by-line during execution, which can be slower but allows for easier debugging and dynamic execution. Both are essential in different programming environments depending on performance and development needs.

What do compiler engineers do?

Compiler engineers design, develop, and optimize software that translates high-level programming languages into machine code. They work with programming languages, algorithms, and tools like LLVM or GCC to improve compiler performance and correctness, often collaborating with software developers and testing their tools thoroughly.
Compiler jobs near you
Infographic showing various Compiler job openings in Natick, MA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $44,689 per year, or $21.5 per hour.

Senior Deep Learning Framework Communications Engineer

Nvidia

Westford, MA • On-site

Full-time

Re-posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

  • Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production

  • Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.

  • Improve AI compilers to hide communications or perform automatic fusion.

  • Conduct in-depth AI workload performance characterization on multi-GPU clusters.

  • Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.

  • Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.

  • Influence the roadmap of communication libraries - NCCL & NVSHMEM.

  • Collaborate with a very dynamic team across multiple time zones.

What we need to see:

  • B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience

  • Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang

  • Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)

  • Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)

  • Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)

  • Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)

  • Adaptability and passion to learn new areas and tools

  • Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

  • Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

  • Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes

  • Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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