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Junior Llvm Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

SRC, Inc

Staff C++ Software Engineer

Fairborn, OH · On-site

$130K - $150K/yr

Actively coach, mentor, and elevate mid-level and junior engineers to foster a high-performing ... LLVM, Abseil) * Cloud & Containerization: Experience containerizing C++ applications using Docker ...

Talanto

$125 - $150/hr

... junior engineers. The successful candidate brings strong engineering discipline, a clear ... Exposure to compiler infrastructure such as LLVM or MLIR. * Open-source contributions to GPU or ML ...

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

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Junior Llvm information

See salary details

$19K

$52.5K

$88K

How much do junior llvm jobs pay per year?

As of Sep 7, 2026, the average yearly pay for junior llvm in the United States is $52,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What is a junior LLVM?

Junior LLVM developers are entry-level software engineers who work with the LLVM compiler infrastructure project. They typically assist in developing, maintaining, and optimizing compiler tools, libraries, and backends using C++ and other programming languages. Their work may include bug fixing, adding new features, writing tests, and collaborating with more experienced LLVM contributors. Junior LLVM developers often have a solid foundation in computer science, particularly in areas related to compilers, programming languages, and low-level systems programming.

What does a junior LLVM do?

As a Junior LLVM developer, you can expect to work on tasks such as writing and maintaining compiler passes, fixing bugs, improving documentation, and implementing new features under the guidance of senior engineers. You'll likely participate in code reviews, contribute to open-source LLVM repositories, and collaborate with other developers to resolve challenging technical issues. Early projects often focus on learning LLVM's codebase, understanding compiler internals, and gradually taking on more complex assignments as you gain experience.

What skills and qualifications are needed to thrive as a junior LLVM?

To thrive as a Junior LLVM Developer, you need a solid understanding of C++ programming, compiler theory, and computer architecture, often supported by a degree in computer science or a related field. Familiarity with the LLVM toolchain, version control systems like Git, and build tools such as CMake is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this position. These skills and qualities are essential to contribute to complex compiler projects, collaborate within teams, and deliver robust, efficient software solutions.

What is the difference between Junior Llvm vs Junior Compiler Engineer?

AspectJunior LlvmJunior Compiler Engineer
Required CredentialsBachelor's in Computer Science or related field, familiarity with LLVMBachelor's in Computer Science, experience with compiler design, knowledge of LLVM often preferred
Work EnvironmentSoftware development teams, open-source projects, tech companiesSoftware development teams, tech companies, research labs
Industry UsagePrimarily in compiler development, programming language tools

Junior Llvm roles typically focus on working with the LLVM compiler infrastructure, often requiring familiarity with compiler concepts and LLVM tools. Junior Compiler Engineer positions may involve broader compiler development tasks, including designing and optimizing compilers, with LLVM knowledge being advantageous. Both roles are common in software companies and research environments, but Junior Llvm is more specialized in LLVM technologies specifically.

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Junior Llvm jobs near you
Infographic showing various Junior Llvm job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $52,462 per year, or $25.2 per hour.

Software Engineering Evaluation Specialist

Mindrift

Brooklyn, NY • On-site

$35/hr

Part-time

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

Key responsibilities

  • Design coding tasks that include a broken piece of software within a Docker environment, with instructions, tests, and reference solutions.

  • Build reproducible Docker environments with pinned dependencies and write verification tests that are deterministic and non-flaky.

  • Create instruction documents resembling Jira tickets and reference scripts demonstrating task solvability.

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

About the Role

You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.

Responsibilities:

  • Invent a realistic developer scenario - a real bug, a broken ETL, a missing feature - not a toy problem.
  • Build a reproducible Docker environment with pinned dependencies.
  • Write a pytest that verifies outcomes, not specific commands - deterministic, non-flaky, and does not leak the fix.
  • Write an instruction.md that reads like a Jira ticket a developer would receive.
  • Write a reference solve.sh proving the task is solvable.
  • Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time.
  • Iterate based on feedback from expert QA reviewers.
  • Later: review other authors' tasks as a QA reviewer.

Not in scope

  • Data labeling, prompt engineering.
  • Production code to ship - you design problems and verification for AI agents.
  • Leetcode puzzles - scenarios must look like real developer work.
  • Not every candidate task ships - quality over quantity.

Requirements

  • 3+ years of production software development in one backend stack - Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth.
  • Python + pytest fluency - required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py.
  • Docker authoring - reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.
  • Linux & Bash - comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.
  • AI coding agent experience - Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it.
  • English - B2+ written.

Not a fit

  • Data Science, ML, or Computer Vision engineers without backend-engineering output.
  • Manual QA testers without automation or test authoring.
  • Frontend-only, low-code / no-code, IT Support, or Business Analysts.
  • Engineers who have never written pytest from scratch.
  • Junior, intern, or assistant as the most recent role.

Preferred qualifications

  • Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.
  • Modern Python tooling (uv, poetry, pyproject.toml).
  • Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov).
  • Fuzzing or property-based testing (Hypothesis).
  • Prior contribution to agent-evaluation benchmarks or related frameworks.

Process

Apply Pass qualification (90-minute sample-task screen + short behavioral interview) Join a project Complete tasks Get paid.

Time commitment

  • Onboarding: ~10 hours per first task.
  • Steady state: ~5 hours per task, 2-4 parallel tasks per author.
  • Realistic weekly load: 8-20 hours. Higher volume available for top performers.
  • You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.

Compensation:

  • Paid contributions, rates up to $35/hour*.
  • Task-based compensation equivalent to hourly rate, depending on performance and volume.
  • Some projects include incentive payments.

*Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Apply

Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist - Terminal Bench), and include a GitHub profile link if available.

Apply