Lead and grow a team of approximately 12 kernel engineers developing high-performance inference kernels across NVIDIA, AMD, and ASIC hardware. Own the MAX kernel roadmap, performance optimization, portable kernel architecture, and delivery. Partner with framework, serving, compiler/runtime, hardware enablement, and Qualcomm teams while advancing AI-assisted development, verification, and engineering practices.
About Modular
About the role:
What you will do:
What you bring to the table:
Minimum Qualifications:
Helpful, but not required:
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.
MAX is Modular's inference tech stack, built to run GenAI models fast across NVIDIA, AMD, Qualcomm, Trainium, TPU and more. The MAX Kernel team is the performance foundation of that stack, developing kernels using Mojo, GEMM, attention (MHA/MLA/MSA), MoE routing and grouped matmul, and the portable tile abstractions that let one kernel lower to many targets.
As the Engineering Manager of the MAX Kernel team, you will lead a team of kernel engineers, own the kernel roadmap and the per-model × per-hardware performance optimization to the best vendor and open-source stacks. You will partner closely with the Framework, Serve, Compiler/Runtime and Hardware Enablement teams, and help grow a kernel engineering community that spans Modular and Qualcomm.
LOCATION: Candidates based in the United States 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 in our Los Altos, CA office.
- Lead, hire, coach and grow a team of ~12 kernel engineers across NVIDIA, AMD and ASIC hardwares; own career development, performance management and team health.
- Own the MAX kernel roadmap and delivery: match or beat the performance of other open-source kernel libraries on each business essential model × hardware target.
- Support portable kernel architecture (TileTensor / TensorEngine / TileIO, reusable building blocks such as MegaFFN and the attention family) together with tech leads.
- Partner cross-functionally with Framework, Serve, Compiler/Runtime, Hardware Enablement and Qualcomm kernel teams on priorities, interfaces and escalations.
- Advance AI-assisted kernel development (kernel agents, fuzz verification, playbooks) and the kernel engineering community across org boundaries.
- 3+ years as an engineering manager leading GPU kernel, compiler, HPC, or ML performance engineering teams. (minimum requirement)
- Strong cross-functional communication; able to drive technical decisions with tech leads and communicate status, risks and tradeoffs to engineering leadership and customers.
- Track record of hiring, retaining and growing senior kernel or performance engineers.
- Working knowledge of writing and optimizing GPU/accelerator kernels (CUDA, HIP/ROCm, Triton, CUTLASS/CuTe or similar).
- Deep understanding of profiling, benchmarking, and roofline analysis
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
OR
- Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
OR
- PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
AND
- 4+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc.
- Experience with Mojo or other kernel and tile-level programming models (Triton, TileLang, CuTe)
- Multi-target experience beyond NVIDIA: AMD, NPUs/ASICs or edge/on-device.
- Experience with AI-assisted or agentic kernel development.
- Open-source contributions to kernel libraries or inference engines.
- 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 is $255,400.00 - $383,200.00 USD.
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 • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills:
HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s U.S. vaccines sales organization and national commercial strategy across a complex multi-brand portfolio. Oversees regional sales leaders, operations, and enablement teams; delivers revenue performance; manages budgets, incentives, demand planning, and field readiness; and partners with marketing, access, accounts, pharmacy, medical, legal, compliance, finance, and HR. Develops talent, ensures compliant execution, provides market intelligence, and prepares the organization for future vaccine launches.
Top Skills:
Ai-Powered Commercial ToolsData Visualization PlatformsGenerative AiPredictive Analytics
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads scientific oversight and data quality for late-stage oncology clinical trials. Responsibilities include protocol and regulatory document authoring, clinical data review, safety analysis, governance participation, regulatory submission support, cross-functional collaboration, and team leadership. The role requires extensive oncology Phase 3 clinical research experience, knowledge of ICH/GCP and global regulations, large-data analysis, scientific communication, and the ability to guide clinical development strategy.
Top Skills:
Ema RegulationsFda RegulationsGood Clinical Practice (Gcp)Ich GuidelinesMS Office
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
