Mythic
11 - 50 employees
Founded 2012
🤖 Artificial Intelligence
🔧 Hardware
💰 $70M Series C on 2021-05
Artificial Intelligence • Hardware • Robotics
Mythic is the leading high-performance analog computing company that focuses on delivering cost-efficient and energy-efficient edge AI computing power across various sectors including robotics, defense, and consumer devices. The company's innovative compute-in-memory technology solves the limitations of traditional digital computing by storing AI parameters directly in the processor, significantly enhancing AI inference applications. Mythic aims to empower industries with advancements in performance scalability and efficiency, providing a robust platform for the next generation of AI applications.
Compiler Engineer – MLIR, PyTorch Infrastructure
🕒 March 19
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Mythic
11 - 50 employees
Founded 2012
🤖 Artificial Intelligence
🔧 Hardware
💰 $70M Series C on 2021-05
Artificial Intelligence • Hardware • Robotics
Mythic is the leading high-performance analog computing company that focuses on delivering cost-efficient and energy-efficient edge AI computing power across various sectors including robotics, defense, and consumer devices. The company's innovative compute-in-memory technology solves the limitations of traditional digital computing by storing AI parameters directly in the processor, significantly enhancing AI inference applications. Mythic aims to empower industries with advancements in performance scalability and efficiency, providing a robust platform for the next generation of AI applications.
📋 Description
• Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies. • Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration. • Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging. • Enable compilation by extending MLIR integration across analog accelerators and digital subsystems. • Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)
🎯 Requirements
• 3+ years of experience in compiler or high-performance systems development. • Proficiency in modern C++ (C++14/17/20) and Python. • Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines. • Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.
🏖️ Benefits
• Shape the MLIR and PyTorch integration strategy for novel AI hardware. • Opportunity to contribute upstream and influence the broader ML compiler ecosystem. • Collaborate with a team spanning hardware, runtime, and compiler design. • Competitive compensation, equity, and comprehensive benefits.
Apply NowSimilar Jobs
🕒 March 19
Senior Engineer delivering high-value Palantir Foundry solutions, optimizing data pipelines and workflows. Mentoring junior engineers and collaborating with client-focused teams to ensure technical excellence.
Python
SQL
🕒 March 19
Lead Engineer driving the technical success of client solutions at RANGR Data. Guiding engineers and ensuring delivery of scalable, high-quality implementations in data operations.
Python
SQL
🕒 March 19
Junior Engineer supporting Palantir Foundry solutions delivery at RANGR Data. Collaborating with team members to implement features, debug issues, and refine solutions.
Python
SQL
🕒 March 19
Senior MSP Engineer responsible for client IT infrastructure and supporting cloud and on-premises environments. Leading complex projects and improving service delivery processes.
AWS
Azure
Cloud
DNS
Firewalls
Switching
TCP/IP
VMware
🕒 March 19
Packaging Engineer leading packaging lifecycle from concept to market for Ollie's human-grade pet food. Collaborating with cross-functional teams to enhance packaging quality and sustainability.
