Staff Engineer, Hardware Enablement

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇬🇧 United Kingdom – Remote

💵 $180k - $270k / year

⏰ Full Time

🔴 Lead

🔧 Hardware Engineer

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Modular

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100.5G Series B on 2023-08

Artificial Intelligence • Enterprise

Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world. The company focuses on enabling AI to be accessible to anyone, anywhere, leveraging specialties in machine learning, AI technologies, and platforms such as TensorFlow and PyTorch, along with hardware solutions.

📋 Description

• Bring up and validate support for new hardware architectures across kernels, compiler infrastructure, runtime, graph execution, and model serving • Write, port, and optimize Mojo kernels for novel accelerator architectures • Investigate performance and correctness issues across kernel execution, memory movement, compiler lowering, graph decisions, synchronization, and vendor runtime behavior • Develop understanding of accelerator ISA, execution model, memory hierarchy, synchronization, compiler constraints, and vendor toolchains • Map AI operators and workloads onto new architectures • Contribute to portability infrastructure, compiler integration, tooling, testing, and debugging workflows • Collaborate with hardware vendor engineers on platform capabilities, issues, integration tests, and hardware/software integration • Benchmark and profile workloads, identify bottlenecks, and improve production-quality performance • Share knowledge through technical documentation, demos, design discussions, and engineering write-ups • Participate in company events such as onsites and hackathons

🎯 Requirements

• 5+ years of experience in high-performance computing, compiler engineering, accelerator software, systems engineering, or a closely related domain in industry or research • Strong C++ skills and experience contributing to complex, multi-component software systems • Hands-on experience with CUDA, SYCL, OpenCL, or a comparable accelerator programming environment • Experience writing or modifying GPU kernels, custom operators, accelerator code, or working with ML frameworks such as PyTorch at the C++/systems layer • Working knowledge of memory hierarchy, parallel execution, synchronization, data movement, and software/hardware performance relationships • Experience debugging across software abstraction boundaries • Ability to read architecture manuals, ISA documentation, and vendor technical materials • Strong communication and collaboration skills • Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering or related work experience; OR Master's degree and 3+ years; OR PhD and 2+ years • 2+ years of work experience with programming languages such as Python, Mojo, Rust, or C++

🏖️ Benefits

• Comprehensive healthcare coverage • Retirement and savings programs • Employee stock purchase opportunities • Paid time off • Wellbeing resources • Family support programs • Learning and development opportunities • RSU grants • Regular team onsites and local meetups • Traveling 2–4 times a year

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