The Compiler Engineer will design compiler IRs and strategies for complex algorithmic workloads, collaborating with hardware engineers to enhance ISA and execution models, ensuring performance and correctness, while simplifying developer experiences.
About us
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.
We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
About the role
Help push the boundaries of what can run on our accelerator. You’ll design compiler IRs and lowering strategies to support algorithmic workloads with irregular or dynamic control flow—loops, branches, and iterative methods—going beyond static neural networks. Working side by side with hardware engineers, you’ll influence ISA and execution model co-design to unlock new algorithm classes on analog and digital subsystems. The result: a compiler that makes complex algorithms practical to deploy while staying seamless for developers.
Here's what you will do
- Extend compiler IRs to represent algorithms not easily captured in DNN graphs including control flow and iterative computation
- Develop compilation strategies that unify analog compute with digital subsystems while maintaining performance and correctness
- Prototype and optimize algorithms with irregular or dynamic control flow in compiler IRs, applying techniques such as vectorization, predication, and scheduling
- Collaborate with hardware engineers to co-design ISA and features that improve support for algorithmic workloads
- Define a roadmap for higher-level programming abstractions that simplify prototyping and accelerate deployment
Here's the background we hope you will have
- 3+ years of professional experience in compilers or high-performance systems software
- Proficiency in modern C++ (C++14/17/20) and Python
- Familiarity with compiler IRs (e.g., MLIR, LLVM, or equivalent) and their use representing complex program structures
- Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations, vectorization)
The following would be nice to have, but is not required
- Hands-on experience developing MLIR or LLVM dialects for control flow (e.g. scf, cf) or affine/polyhedral representations.
- Background in compiler-hardware co-design: working with hardware designers to refine ISA or execution models for efficiency
- Proven ability to prototype irregular or control-flow algorithms in compiler IRs and optimize them for performance and resource constraints
- Experience extending ML compiler stacks (ONNX, IREE, XLA, PyTorch, TVM) to support workloads beyond DNNs
What we offer
- The opportunity to make algorithmic and control-flow-heavy workloads practical on novel accelerator hardware.
- A role that bridges compiler design and hardware co-design, shaping both the IR and the accelerator architecture.
- A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design.
- Competitive compensation, equity, and benefits package.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
Mythic AI Redwood, California, USA Office
333 Twin Dolphin Drive, Ste 300, Redwood, United States, 94065
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills:
Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s eastern Integrated Medicines Business, owning regional execution and co-owning national portfolio strategy across Nurtec ODT, Zavzpret, Eliquis, and Paxlovid. Oversees five Regional Business Directors, revenue performance, resource allocation, field execution, talent development, brand partnerships, compliance, and cross-functional collaboration. Builds organizational readiness for a future GLP-1 obesity launch and uses AI-enabled commercial insights to improve deployment and performance.
Top Skills:
Ai-Powered Commercial ToolsData Visualization PlatformsGenerative AiPredictive Analytics
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Engage high-potential and prospective VIP players across communication channels, build relationships, evaluate VIP program eligibility, and optimize player engagement and onboarding strategies. The role supports acquisition efforts for new state launches, gathers customer feedback, and requires adaptability, travel, nights, weekends, and state gaming licensure.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
