Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.
About Modular
About the role:
What you will do:
What you bring to the table:
What Modular brings to the table:
At Modular, a Qualcomm company, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.
If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.
Mojo is our secret sauce, spell-book, and Mjolnir — 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.
- 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.
- 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
- 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.
- 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.
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.
Top Skills:
AITulip
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s medical channel excellence team and develops global omnichannel strategies for scientific engagement across therapeutic areas. Oversees audience journeys, digital and social channels, paid media, vendor relationships, budgets, regulatory alignment, and channel performance. Partners with Medical Affairs, R&D, Evidence Generation, legal, compliance, and global teams to disseminate scientific content to healthcare professionals. Provides strategic leadership, manages resources, develops channel infrastructure, and drives innovation in personalized medical communications.
Top Skills:
Digital PlatformsOmnichannel Engagement PlatformsScientific Content Dissemination ToolsSocial Media ChannelsThird-Party Digital Platforms
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
