Director of Embedded Systems Engineering

The graph compiler is a central piece of MAX, which executes ML models at state-of-the-art performance across multiple hardware platforms. It is built on MLIR from the ground up using a novel design based on tight integration with the Mojo programming language. Modular's compiler stack is vertically integrated, from ML serving layer, through the Python API, down to highly tuned kernel implementations - opening up opportunities for optimization not available in competing technologies. This role involves extending and developing the graph compiler to support state-of-the-art features and hardware platforms. You will improve the performance and usability of the graph compiler, creating a joyful developer experience. Modular's vertically integrated ML serving stack allows you to solve a uniquely diverse set of problems, like heterogeneous compilation, kernel fusions, and distributed model execution. LOCATION: Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person at headquarters in Los Altos, CA. What you will do:

• Design and develop compiler optimizations to improve inference efficiency across CPUs, GPUs, and ML accelerators, including kernel fusion, memory planning, and shape optimization.
• Compile large-scale application workloads onto heterogeneous hardware: map hardware-agnostic graphs of computational operators onto hardware-specific graphs of devices and nodes.
• Collaborate with the kernels, serving, and Mojo compiler teams to implement core technologies that deliver end-to-end performance across a variety of heterogeneous hardware platforms.
• Write design documents for new features and drive for alignment on designs with cross-functional teams.
• Collaborate with the customer success team and engage with customers to understand their performance requirements and use cases., The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence. Top Skills: AIEmbedded SystemsIotMcu-Based RtosMmwaveMpu-Based Embedded LinuxOptical PerceptionVoipWebrtcWireless Communication Circle (circle.so), Artificial Intelligence * Consumer Web * Digital Media * Information Technology * Social Impact * Software As the Lead Product Designer for Discover, you'll design AI-driven experiences for a two-sided marketplace while mentoring the design team and owning the product design direction. Top Skills: Ai-Assisted Prototyping Tools (CursorClaude CodeFigmaLovable)V0

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 5+ years of software engineering experience.
• Proficiency in C++.
• Experience working with compilers for machine learning frameworks.
• Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others.

Helpful but not required:

• Knowledge of and experience working with MLIR and LLVM.
• Experience with ML parallel / distributed programming, heterogeneous ML computation, and/or code generation.
• Knowledge of basic ML implementation and modeling techniques and familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.

• 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. Premier insurance plans, up to 5% 401k matching, flexible paid time off, and more are available to you! Please note that specific benefit packages may vary based on your location.
• Competitive Compensation. We offer very strong compensation packages, including stock options. 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 $198,000.00 - $286,000.00 USD. The estimated base salary range for this role to be performed in Canada, regardless of the province, is $194,000.00 - $280,000.00 CAD. 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 openings that are lower/higher level than the ones advertised., Remote or Hybrid Denver, CO, USA 212K-244K Annually Mid level 212K-244K Annually Mid level Artificial Intelligence * Professional Services * Business Intelligence * Consulting * Cybersecurity * Generative AI Lead development and execution of internal communications and change management strategies to align employees with organizational goals. Manage channels, create content (copywriting, speech writing), use data to improve communications, build stakeholder relationships, embrace technology, oversee project planning/budgeting, and mentor team members while resolving conflicts and driving adoption of communication initiatives. Inspiren

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies. The summary above was generated by AI About Modular At Modular, 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.