Job Title: Engineering Director Company Name: Modular Job Details: $261-363k+,Stock,options.,The,estimated,base,salary,range,for,this,role,to,be,performed,in,Canada,is,$256,000.00,-,$356,000.00,CAD.,Plus,annual,target,bonus,&,equityPythonC++CUDAPyTorchSenior,and,Expert,levelSan,Francisco,Bay,AreaRemote,from,US,,CanadaMore,information,about,location Job Url: https://app.welcometothejungle.com/jobs/K7Jpz8-c?theme=newly-added Job Description: Role Who you are 7+ years of experience in a customer-facing technical roles where you solved hard problems alongside clients 3+ years of management experience with a proven track record of building high-performing collaborative teams In-depth understanding of the GenAI execution lifecycle, deployment methodologies, along with testing and quality evaluation methodologies Proven ability to translate complex technical concepts into clear, concise, and understandable language that resonates with for both clients and internal teams Demonstrated ability to rapidly prototype and deliver Proofs of Concept (POCs) that win customer confidence Adept at navigating ambiguity and ability to exercise sound judgment to identify appropriate solutions and tools, while avoiding unnecessary complexity Hands-on experience with production AI workloads including scaling and serving large models Proficiency in Mojo, Python, C++, or CUDA programming languages, plus familiarity with frameworks such as MAX, Pytorch, or vLLM What the job involves As an engineering director at Modular leading the GenAI Enterprise team, you'll build something from the ground up — a team dedicated to making Modular's GenAI platform work flawlessly for each customer's unique challenges Your team will dive deep into specific customer requests, researching their problems and optimizing solutions so they work perfectly for their particular use case You'll collaborate closely with customers and product teams to evaluate requests, demonstrate value, and ensure the Modular platform delivers exactly what enterprise customers require This is a rare chance to shape both a team and a product while working across the entire stack to bring Modular's vision to life Serve as the primary engineering point of contact for enterprise prospects and customers, diving deep into their unique challenges and requirements Deliver and demonstrate real, measurable value of the Modular platform to customers through targeted production solutions Own customer satisfaction by ensuring every solution your team delivers exceeds expectations and proves its worth Collaborate with the product team to qualify as well as vet new prospects and support existing customers Channel customer insights and feedback back to engineering and product teams, ensuring we stay ahead of real-world needs Cultivate and sustain robust relationships with customer leadership and technical stakeholders, facilitating the successful deployment and expansion of their applications Share this job Report a problem with this job Hide company View 8 more jobs at Modular Company Company benefits A variety of fantastic health benefits (health, dental, vision insurance; life insurance etc) are available A 401k plan with up to 5% match Free tax advice on Carta Generous work-from-home stipend of $1500 to help you improve your home office Unlimited paid time off and flexible work hours Funding (last 2 of 3 rounds) Sep 2025 $250m LATE VC Aug 2023 $100m LATE VC Total funding: $380m Our take AI development is booming, but the tools behind it? Not so much. Developers are often stuck dealing with messy, disconnected systems that slow everything down and bump up costs. To address this, Modular has developed a unified AI platform that streamlines the development process. It's AI Engine enhances the performance of models on CPUs and GPUs, supporting popular frameworks like TensorFlow and PyTorch. And on top of that, it's built Mojo, a programming language that's as easy as Python but much faster (35,000 times faster). In 2023, the company raised an impressive $100M to power its mission. It's been using this funding to grow its team, support more hardware, and push Mojo even further. With the hopes of making AI development faster, smoother, and a whole lot more fun for everyone. Kirsty Company Specialist at Welcome to the Jungle