Full-Time

MAX Platform Tooling Engineer

Posted on 10/31/2025

Modular

Modular

201-500 employees

Unified AI infrastructure platform for workloads

Compensation Overview

$198k - $273k/yr

+ Annual Target Bonus + Equity

Canada + 2 more

More locations: Mountain View, CA, USA | United States

Hybrid

Hybrid role; early-career track requires at least 2 days on-site per week in Los Altos, CA.

Category
Software Engineering (1)
Required Skills
C/C++
Linux/Unix
Requirements
  • Typically 7+ years of experience in systems programming, debugging infrastructure, compilers, or related low-level tools.
  • Hands-on experience with modern debugger internals (like GDB or LLDB) and a strong understanding of the DWARF debugging format.
  • Familiarity with LLVM, and MLIR particularly in systems or compiler-related contexts.
  • Excellent programming skills in C++, or other relevant systems programming focused languages.
  • Strong understanding of computer architecture and operating systems.
  • Deep knowledge of OS internals that matter for debugging — including process layout, threading models, and signal handling on Linux and macOS.
Responsibilities
  • Design, build, and maintain key technologies that support the Mojo compiler, such as the REPL, CPU/GPU debuggers, language servers (LSPs), and tracing tools.
  • Collaborate closely with compiler and kernel teams to create innovative debugging workflows that significantly improve developer productivity.
  • Ensure seamless integration of these technologies with our compiler and other parts of our platform.
  • Participate in design discussions and code reviews to uphold high engineering standards.
  • Engage with the external Modular community and open source community to support high-quality contributions and foster a welcoming, inclusive environment.
  • Mentor junior engineers and support their growth.
Desired Qualifications
  • Experience with Nvidia (CUDA-gdb) or AMD (ROCgdb) debugging tools.
  • Prior experience with Mojo, especially with an accepted contribution to the Mojo open source repository.
  • Background in integrating debuggers like LLDB or GDB into IDEs, especially if you’ve worked with Debug Adapter Protocol (DAP) or LSP workflows.
  • In-depth understanding of GDB/LLDB features, including remote debugging setups using gdbserver or LLDB’s remote platform support.
  • Experience with LLVM’s JIT infrastructure (e.g., MCJIT, ORCJIT), particularly in interactive environments like REPLs.
  • Familiarity with writing or extending compiler grammars or parsers, especially in REPL-friendly languages.
  • Hands-on experience with GPU or AI kernel development, especially for high-performance compute workloads.
  • Proficiency in Python, especially if you've worked on Python debuggers, mixed-language debugging (C++/Python), or introspection tools that bridge dynamic and compiled code.
  • Experience building or extending developer tooling in VSCode, especially through custom extensions.
  • A bachelors degree in Computer Science or a related field or equivalent experience.

Modular builds and offers a unified AI infrastructure platform that teams can use to develop, deploy, and innovate on AI workloads. The platform is designed to be integrated and extensible, providing a suite of tools that work together to simplify infrastructure and accelerate AI work. It charges clients for access to the platform and its tools, focusing on businesses with AI infrastructure needs in technology, engineering, and finance. A key differentiator is direct access to industry experts and the platform’s support for dynamic shapes in AI workloads, which helps meet SLAs and SLOs. The company aims to help teams move faster by making AI infrastructure easier to manage and scale, while fostering a culture centered on building user-loved products, empowering people, and teamwork.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$380M

Headquarters

Palo Alto, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $380M in September 2025 at $1.6B valuation from Greylock, GV.
  • Partners with Inworld AI for speech synthesis and NVIDIA for CUDA integration.
  • Open-source Modular Platform installs via pip, supports Llama models instantly.

What critics are saying

  • Nvidia absorbs cross-platform tech into CUDA within 12-24 months.
  • AMD ROCm and Intel oneAPI achieve parity, eroding Modular's edge in 18-36 months.
  • Hyperscalers like Google, Meta build proprietary stacks, blocking 60% AI spend.

What makes Modular unique

  • Mojo programming language enables Python-like usability across Nvidia, AMD GPUs.
  • Achieves top performance on Nvidia Blackwell B200 and AMD MI355X seamlessly.
  • Unified MAX Platform optimizes from GPU kernels to cloud APIs hardware-agnostically.

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Benefits

Health Insurance

401(k) Company Match

Unlimited Paid Time Off

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

0%
Business Insider Japan
Dec 22nd, 2025
Modular raises $380M from top VCs to challenge Nvidia's AI dominance with new software stack

Modular, a startup co-founded by Apple and Google software veterans Chris Lattner and Tim Davis, has raised $380 million from investors including Greylock, General Catalyst and GV, reaching a valuation of $1.6 billion in its latest September funding round. The company is challenging Nvidia's CUDA software platform, which has dominated AI development for nearly 20 years by binding workloads to Nvidia GPUs. Lattner, known for creating Apple's Swift programming language, and Davis previously built software for Google's TPU AI chips. Modular has developed a new AI software stack including Mojo, a programming language designed to work across different chip manufacturers whilst maintaining Python-like usability. The company recently announced achieving top-level performance on both Nvidia's Blackwell B200 and AMD's MI355X GPUs using the same software platform, with AMD chips showing approximately 50% better performance than when using AMD's own software.

Modular
Nov 27th, 2025
Modular: Modular Raises $250M to scale AI's Unified Compute Layer

Modular Raises $250M in Third Round to Unify AI Compute

PYMNTS
Sep 29th, 2025
Big Checks Flow to AI's Hidden Foundations as Investors Look Beyond Models

Backers in Modular's third funding round included U.S. Innovative Technology fund, DFJ Growth, Google Ventures, General Catalyst and Greylock Ventures, the release said.

SiliconANGLE Media
Sep 24th, 2025
Modular raises $250M to simplify AI deployment across hardware

Modular has also teamed up with AI application developers such as Inworld AI to accelerate speech synthesis and San Francisco Compute Co., which operates a GPU cluster marketplace.

TechStartups.com
Apr 7th, 2025
From .Ai To .Com: The Quiet Domain Rebrand Sweeping Startup Ecosystem

When generative AI took off in 2022 following the popularity of ChatGPT, launching a startup on a .ai domain felt like the obvious move. It signaled your company was part of the next wave of innovation.¬†It instantly signaled to investors, journalists, and users that you were building in AI.Now, a shift is happening. Some of the most promising startups in AI are quietly moving away from their .ai domains and switching to .com. It‚Äôs not about trend-chasing‚Äîit‚Äôs about positioning.This isn’t a flood, but it‚Äôs enough to raise eyebrows. And it says something about how branding, trust, and long-term ambition play a bigger role in how startups choose to present themselves.Why Startups Went With .AI DomainsIn the early days, .ai domains were easy to get and made a lot of sense. Short .coms are hard to come by and often expensive

INACTIVE