--- title: 'Technical Program Manager, Platform Engineering at Modular' canonical: 'https://feeny.ai/job/technical-program-manager-platform-engineering-modular-san-francisco-hpb2655n8cs8' type: 'job' last_seen: '2026-11-05' --- # Technical Program Manager, Platform Engineering at Modular - **Company:** Modular - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.gem.com/modular/am9icG9zdDomVyI3YHD_AS1KxY9tbiC5 ## Job description About the role: Platform Engineering is responsible for the build, test, and deployment systems that ship MAX/Mojo as well as enabling teams to build & ship code faster with AI. This is a hands-on, technical role at the center of Modular's engineering org. You sit between Platform Engineering and the compiler, runtime, kernel, cloud, and product teams that depend on it, turning broad goals like faster builds, reliable tests, and shorter CI feedback loops into work that ships. Working closely with engineering and product leaders, you bring structure to how work is planned, tracked, and communicated. You join design discussions, help teams build realistic plans, and surface risk early, shaping engineering decisions across the org. LOCATION: Candidates based in or open to relocating to the San Fransisco Bay Area 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. What you will do: - Partner with engineering and product leaders to scope projects, set milestones, and sequence work against dependencies and available staffing. - Set and run the cadence for planning, status reporting, and risk review across the org. - Drive execution on the build, release, and continuous deployment infrastructure behind MAX, Mojo, and Cloud, shortening the path from merge to production and keeping rollouts and rollbacks safe and routine. - Define and report the metrics for developer experience health, including build time, CI queue time, test flakiness, and time to merge. Use them to prioritize where to invest. - Partner with Security on the integrity of the build and release path — secrets handling in CI, runner and artifact isolation, signing and provenance, and access control on deploy paths. - Coordinate rollouts and migrations across teams, with clear communication, rollback plans, and adoption tracking. - Strengthen reliability of developer infrastructure: lead follow-through after incidents, drive root-cause analysis across teams, and make sure action items actually close. What you bring to the table: - Bachelor’s degree in a technical field, or equivalent practical experience. - 8 years of experience in technical program management, engineering management, or infrastructure engineering. - Experience driving programs for platform or developer infrastructure teams at scale, such as build systems, CI/CD pipelines, test infrastructure, or release tooling. - Experience leading cross-functional programs with multiple teams and dependencies, from scoping and planning through delivery. - Strong written and verbal communication skills, with the ability to explain technical work to a range of audiences. Minimum Qualifications: - Bachelor's degree in Engineering, Computer Science, or related field. - 4+ years of Program Management or related work experience.- Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience. Helpful, but not required: - Experience building or operating release and deployment infrastructure, including continuous deployment. - Ability to diagnose and improve build performance, test reliability, and pipeline throughput. - Experience working with compiler, systems software, or AI/ML infrastructure teams. - Experience setting the planning and reporting cadence for an engineering organization. - Excellent written communication skills, with the ability to make technical detail clear to people outside the work. What Modular brings to the table: - 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](https://www.qualcomm.com/company/careers/benefits). - 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 $143,400.00 - $277,200.00 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. 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. ## About Modular ## Company Overview - **One-liner**: Modular builds a unified, high-performance AI inference platform that enables developers to run AI workloads efficiently across any hardware. - **Entity Type**: Private (Acquired by Qualcomm in July 2026) - **Headquarters**: Los Altos, California, United States - **Founded**: 2022 - **Founders**: Chris Lattner and Tim Davis ## Core Business - **Primary industry/industries**: AI Infrastructure, Deep Learning, Software Development - **Target customers**: AI/ML engineers, data scientists, and enterprises deploying large-scale AI models (B2B, Enterprise) - **Mission statement**: "Make AI’s compute layer unified, efficient, and accessible to all." ## Products & Services - **Modular Platform (MAX)**: A unified AI inference platform offering text, audio, and image inference. It provides state-of-the-art performance with shared or dedicated endpoints, deployment in Modular's cloud or the customer's VPC, and support for custom models. It includes a high-performance, hardware-agnostic serving framework that automatically optimizes kernels across accelerators. - **Mojo**: A high-performance systems language designed for writing composable GPU kernels, enabling maximum performance across different hardware. ## Market Standing - **Valuation/Market Cap**: Not publicly available (acquired by Qualcomm). Total funding raised was $380M. - **Key Metric**: Total Funding of $380M, with an annual revenue of $1M as of the latest data. - **Notable Investors/Partners**: General Catalyst (lead, Series B), Google Ventures (lead, Seed), US Innovative Technology Fund (lead, Series C). - **Growth Signals**: Headcount grew by 39.9% year-over-year to 157 employees. The company was acquired by Qualcomm in July 2026, signaling a major strategic validation and exit. It maintains a strong technical workforce (110 out of 157 employees are in technical roles). ## Competitive Advantages - **Hardware Agnosticism**: The platform runs seamlessly across NVIDIA, AMD, Trainium, TPU, Qualcomm, Intel, ARM, and Apple silicon, providing true portability and preventing vendor lock-in. - **Full-Stack Optimization**: Optimizes from low-level GPU kernels to API endpoints, delivering significant performance gains (e.g., 2x improvement over vLLM on diverse hardware) and up to 50% cost savings. - **Founding Team**: Led by Chris Lattner (creator of LLVM, Clang, and Swift) and Tim Davis, with decades of experience building AI infrastructure at Google and other big tech companies. ## Strategic Focus - **Unifying AI Compute**: The company’s core mission is to solve the fragmentation in AI infrastructure by creating a modular and composable platform. - **Open Source & Ecosystem**: Modular is open-sourcing the Mojo language and the MAX engine to drive adoption and build a community. - **Post-Acquisition Integration**: Following the acquisition by Qualcomm, the strategic focus will likely shift towards integrating its technology into Qualcomm’s hardware ecosystem and scaling its deployment to edge and mobile devices. ## Why Work Here - **Cutting-Edge Technology**: Employees work on building deep learning infrastructure from silicon to system, offering full-stack mastery of the AI software/hardware stack. - **Strong Compensation & Benefits**: Offers leading medical, dental, and vision insurance, strong compensation and equity packages, a 401k plan with up to 5% match, generous parental leave, unlimited paid time off, and a $1,500 work-from-home stipend. - **Culture**: Described as intellectually curious, humble, and collaborative. The company values work/life balance and offers flexible work hours and hybrid work options. - **High Employee Ratings**: On LinkedIn, the company has a 4.3/5.0 employer rating, with perfect 5.0 scores for Culture and Career, and 4.6 for Work-Life and Compensation. - **Onboarding & Process**: Onboarding occurs onsite at the Los Altos office. The interview process is straightforward, generally taking about 4 weeks, and includes a culture interview. ## Sources 1. [Modular Careers Page](https://www.modular.com/company/careers) 2. [Modular About Us](https://www.modular.com/company/about) 3. [Modular Website](https://www.modular.com/) 4. [Modular LinkedIn](https://www.linkedin.com/company/modular-ai) 5. [Modular Careers on Gem](https://jobs.gem.com/modular) ## Other roles at Modular - [Mojo Debugger Engineer](https://feeny.ai/job/mojo-debugger-engineer-modular-remote-gccbm5r3xjq7) - [Platform Engineer, Workplace Engineering](https://feeny.ai/job/platform-engineer-workplace-engineering-modular-los-altos-cyeavzd1vcjh) — Los Altos, CA - [AI Kernel Engineering Manager](https://feeny.ai/job/ai-kernel-engineering-manager-modular-united-states-6wh2bfyym5z2) — United States - [AI Performance Engineer](https://feeny.ai/job/ai-performance-engineer-modular-europe-qzyyx748n8jb) — Europe - [Technical Product Marketing Manager](https://feeny.ai/job/technical-product-marketing-manager-modular-united-states-dtedgp0kdtsg) — United States - [Mojo Back-End Compiler Engineer](https://feeny.ai/job/mojo-back-end-compiler-engineer-modular-remote-ncf0qchaevg5) - [AI Runtime Engineer](https://feeny.ai/job/ai-runtime-engineer-modular-edinburgh-4y9j51sdexm8) — Edinburgh, United Kingdom - [Senior Technical Community Manager](https://feeny.ai/job/senior-technical-community-manager-modular-united-states-canada-srs5wh13vqqg) — United States / Canada - [Inference Systems Engineer](https://feeny.ai/job/inference-systems-engineer-modular-united-states-4gaygxb1r6bk) — United States - [Engineering Manager, Hardware Bringup](https://feeny.ai/job/engineering-manager-hardware-bringup-modular-united-states-canada-8wfmtksxz83t) — United States / Canada