--- title: 'Senior Open Source Community Engineer at Modular' canonical: 'https://feeny.ai/job/senior-open-source-community-engineer-modular-united-states-canada-4mtpdvn8xgw9' type: 'job' last_seen: '2026-09-10' --- # Senior Open Source Community Engineer at Modular - **Company:** Modular - **Location:** United States / Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-07 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.gem.com/modular/am9icG9zdDrypAUoTTbkP2YT-J605q6L ## Job description About the role: As our developer community grows, we need someone who can bridge the gap between our engineering team and developers building with our developer products: Mojo and MAX. We're looking for a Senior Open Source Community Manager to support our community and help developers succeed with Modular's platform. This is an individual contributor role within the product organization, reporting to Modular's Manager, Technical Community. In this role, you'll answer complex technical questions across our forums and Discord, triage and manage contributions across our open source repositories, shape our open source and packaging strategies, and help build a thriving ecosystem around Modular's technology. Success in this role within 6 months looks like taking ownership over and driving the triage process of open source contributions at Modular, and ensuring timely responses to those contributions while improving the experience of open source contributors. You'll work closely with engineering, product, and developer relations teams to ensure our community has the resources, support, and direction they need to succeed with Modular's platform. LOCATION: Candidates based in the United States and Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. To support growth and collaboration, those in earlier career stages work in a hybrid capacity at our Los Altos, CA office (minimum 2 days per week on-site). Onboarding for new hires is conducted in-person in our Los Altos, CA office. This role requires travel to conferences and developer events, which may be as often as once per month, in addition to travel for team and company events (typically 2-4 times per year). What you will do: - Serve as the primary technical expert in community channels (forums, Discord, social media), answering complex questions about Mojo and MAX, troubleshooting issues, and providing guidance on best practices. - Triage and manage GitHub Issues and Pull Requests across Modular's open source repositories, leading weekly roundtable contribution review sessions and working with engineering teams to prioritize community contributions and ensure timely responses. - Contribute to the development and execution of Modular's open source strategy, including identifying opportunities for open sourcing new products and establishing processes that balance openness with business objectives. - Shape Modular's packaging strategy and help build a vibrant packaging ecosystem, working with the community and internal teams to improve distribution, discoverability, and integration of projects built using Mojo and MAX. - Identify patterns in community feedback and escalate insights to product and engineering teams to inform roadmap decisions and improve developer experience. - Build and nurture relationships with key community members, open source contributors, and ecosystem partners to foster advocacy and collaboration. - Represent Modular at conferences, meetups, and online events. Contribute to the planning and execution of developer-focused events. What you bring to the table: - 3–5+ years of professional software engineering experience, with at least some of it centered on open source, whether as a maintainer, a regular contributor, or working on an openly developed project. - 1-3 years of experience in systems programming or AI/ML infrastructure. - Fluency in how open source runs: GitHub workflows, triage and contribution management, release cadence, community governance models, and licensing. - A track record of community engagement you can point to. Issues you shepherded, contributors you brought in, discussions you steered. - Evidence that community feedback has changed something. A docs overhaul, an API rename, a bug caught before release. - Strong debugging instincts. When someone shows up with a broken repro, you can get to a real answer rather than routing it elsewhere. - Excellent written and verbal communication. - Self-motivated and comfortable working autonomously in a fast-paced, remote-friendly startup environment. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or technical related field. - 2+ years of Product Management or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years of work experience. Helpful, but not required: - Experience in technical community management, developer relations, developer advocacy, or a similar role working directly with technical communities. - Experience with package management ecosystems (PyPI, conda, Cargo, npm, etc.) or build systems. - A degree in computer science or related technical field. - Experience working at early-stage startups or in developer-focused companies. - Active presence in technical communities or open source ecosystems (e.g. contributions to major projects, conference speaking, technical writing). 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 is $150,200.00 - $225,400.00 USD. The estimated base salary range for this role to be performed in Canada is $111,500.00 - $167,300.00 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 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 - [Developer Advocate, MAX Inference & Serving](https://feeny.ai/job/developer-advocate-max-inference-serving-modular-united-states-canada-s1r9bnna72jz) — United States / Canada - [Developer Advocate, Mojo](https://feeny.ai/job/developer-advocate-mojo-modular-united-states-canada-hgq4cjnkdxh8) — United States / Canada - [AI Inference Tools Engineer](https://feeny.ai/job/ai-inference-tools-engineer-modular-united-states-8sk0kdjq8g93) — United States - [Inference Optimization Manager](https://feeny.ai/job/inference-optimization-manager-modular-united-states-canada-9910s7qpd0fy) — United States / Canada - [Inference Optimization Engineer](https://feeny.ai/job/inference-optimization-engineer-modular-united-states-canada-h70h6szsvg8e) — United States / Canada - [Product Manager, Cloud](https://feeny.ai/job/product-manager-cloud-modular-united-states-canada-9ks8p0xdqtk4) — United States / Canada - [Senior AI Kernel Engineer](https://feeny.ai/job/senior-ai-kernel-engineer-modular-united-states-canada-crsvzs19n2q8) — United States / Canada - [Cloud Inference Engineer](https://feeny.ai/job/cloud-inference-engineer-modular-united-states-canada-nnas25s7s2g3) — United States / Canada