---
title: 'Mojo Back-End Compiler Engineer at Modular'
canonical: 'https://feeny.ai/job/mojo-back-end-compiler-engineer-modular-remote-ncf0qchaevg5'
type: 'job'
last_seen: '2026-11-05'
---

# Mojo Back-End Compiler Engineer at Modular

- **Company:** Modular
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.gem.com/modular/am9icG9zdDrVK9NbHxLgw0380oPKWyWS

## Job description

About the role:

Mojo is our secret sauce, spell-book, and [Mjolnir](https://en.wikipedia.org/wiki/Mj%C3%B6lnir) — a new programming language that blends the soul of Python with the raw, elemental power of C. It’s designed to unlock every ounce of performance from modern AI hardware, while still being human-friendly and beautifully expressive.

We are searching for a compiler engineer who can help make Mojo the best language for heterogenous programming for CPUs, GPUs and hardware accelerators.

You will be designing a multi-target compiler technology stack, based on MLIR and LLVM. You will be collaborating with kernel authors and hardware engineers to get best performance for each hardware target.

We are a small team with no internal boundaries. You will end up touching everything in the Mojo land, from language to IR to codegen to SDK and user experience.

LOCATION: LOCATION: Candidates based in the US, Canada, and UK are welcome to apply. You can work in our office in Los Altos, CA, or Edinburgh, or remotely from home. Onboarding for new hires is conducted in-person at the appropriate office.

What you will do:

- Craft and implement new Mojo language features on top our MLIR-based compiler architecture.
- Dream up and realize optimization passes that make GPUs, CPUs, and accelerators sing in harmony.
- Shape the developer experience for Mojo — from syntax to performance semantics.
- Collaborate with the Modular core teams, researchers, and an emerging open-source community.
- Help define what "next-generation language design" means in the age of AI.

What you bring to the table:

- 5+ years working on compilers, runtimes, or language implementations.
- Hands-on mastery of C++ (Python fluency a big plus).
- Experience with MLIR and LLVM.
- Experience optimizing code for CPUs, GPUs or AI accelerator hardware
- Have contributed to a real-world compiler project

What Modular brings to the table:

- Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about [benefits offered by Qualcomm here](https://www.qualcomm.com/company/careers/benefits).
- Competitive Compensation. We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
- Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

The estimated base salary range for this role to be performed in the US, regardless of the state, is $180,000 - $270,000 USD.

The estimated base salary range for this role to be performed in Canada, regardless of the province, is $ 172,400 - $258,600 CAD.

The estimated base salary range for this role to be performed in Edinburgh is £99,600 –£150,000 GBR.

The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation. For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have upcoming openings that are lower/higher level than the ones advertised.

## About Modular

## Company Overview
- **One-liner**: Modular builds a unified, high-performance AI inference platform that enables developers to run AI workloads efficiently across any hardware.
- **Entity Type**: Private (Acquired by Qualcomm in July 2026)
- **Headquarters**: Los Altos, California, United States
- **Founded**: 2022
- **Founders**: Chris Lattner and Tim Davis

## Core Business
- **Primary industry/industries**: AI Infrastructure, Deep Learning, Software Development
- **Target customers**: AI/ML engineers, data scientists, and enterprises deploying large-scale AI models (B2B, Enterprise)
- **Mission statement**: "Make AI’s compute layer unified, efficient, and accessible to all."

## Products & Services
- **Modular Platform (MAX)**: A unified AI inference platform offering text, audio, and image inference. It provides state-of-the-art performance with shared or dedicated endpoints, deployment in Modular's cloud or the customer's VPC, and support for custom models. It includes a high-performance, hardware-agnostic serving framework that automatically optimizes kernels across accelerators.
- **Mojo**: A high-performance systems language designed for writing composable GPU kernels, enabling maximum performance across different hardware.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (acquired by Qualcomm). Total funding raised was $380M.
- **Key Metric**: Total Funding of $380M, with an annual revenue of $1M as of the latest data.
- **Notable Investors/Partners**: General Catalyst (lead, Series B), Google Ventures (lead, Seed), US Innovative Technology Fund (lead, Series C).
- **Growth Signals**: Headcount grew by 39.9% year-over-year to 157 employees. The company was acquired by Qualcomm in July 2026, signaling a major strategic validation and exit. It maintains a strong technical workforce (110 out of 157 employees are in technical roles).

## Competitive Advantages
- **Hardware Agnosticism**: The platform runs seamlessly across NVIDIA, AMD, Trainium, TPU, Qualcomm, Intel, ARM, and Apple silicon, providing true portability and preventing vendor lock-in.
- **Full-Stack Optimization**: Optimizes from low-level GPU kernels to API endpoints, delivering significant performance gains (e.g., 2x improvement over vLLM on diverse hardware) and up to 50% cost savings.
- **Founding Team**: Led by Chris Lattner (creator of LLVM, Clang, and Swift) and Tim Davis, with decades of experience building AI infrastructure at Google and other big tech companies.

## Strategic Focus
- **Unifying AI Compute**: The company’s core mission is to solve the fragmentation in AI infrastructure by creating a modular and composable platform.
- **Open Source & Ecosystem**: Modular is open-sourcing the Mojo language and the MAX engine to drive adoption and build a community.
- **Post-Acquisition Integration**: Following the acquisition by Qualcomm, the strategic focus will likely shift towards integrating its technology into Qualcomm’s hardware ecosystem and scaling its deployment to edge and mobile devices.

## Why Work Here
- **Cutting-Edge Technology**: Employees work on building deep learning infrastructure from silicon to system, offering full-stack mastery of the AI software/hardware stack.
- **Strong Compensation & Benefits**: Offers leading medical, dental, and vision insurance, strong compensation and equity packages, a 401k plan with up to 5% match, generous parental leave, unlimited paid time off, and a $1,500 work-from-home stipend.
- **Culture**: Described as intellectually curious, humble, and collaborative. The company values work/life balance and offers flexible work hours and hybrid work options.
- **High Employee Ratings**: On LinkedIn, the company has a 4.3/5.0 employer rating, with perfect 5.0 scores for Culture and Career, and 4.6 for Work-Life and Compensation.
- **Onboarding & Process**: Onboarding occurs onsite at the Los Altos office. The interview process is straightforward, generally taking about 4 weeks, and includes a culture interview.

## Sources
1. [Modular Careers Page](https://www.modular.com/company/careers)
2. [Modular About Us](https://www.modular.com/company/about)
3. [Modular Website](https://www.modular.com/)
4. [Modular LinkedIn](https://www.linkedin.com/company/modular-ai)
5. [Modular Careers on Gem](https://jobs.gem.com/modular)

## Other roles at Modular

- [Technical Program Manager, Platform Engineering](https://feeny.ai/job/technical-program-manager-platform-engineering-modular-san-francisco-hpb2655n8cs8) — San Francisco, CA
- [Mojo Debugger Engineer](https://feeny.ai/job/mojo-debugger-engineer-modular-remote-gccbm5r3xjq7)
- [Platform Engineer, Workplace Engineering](https://feeny.ai/job/platform-engineer-workplace-engineering-modular-los-altos-cyeavzd1vcjh) — Los Altos, CA
- [AI Kernel Engineering Manager](https://feeny.ai/job/ai-kernel-engineering-manager-modular-united-states-6wh2bfyym5z2) — United States
- [AI Performance Engineer](https://feeny.ai/job/ai-performance-engineer-modular-europe-qzyyx748n8jb) — Europe
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