Team Lead Software Engineering

ppZürich, Switzerlandbr/Seniority: 7+ years (systems, compilers, or embedded) /p pLead the software group that makes ComputeRAM® easy to use, from microcontrollers to accelerators. You will set the strategy and own hands-on delivery across drivers, compiler paths, code generation, kernels, benchmarking, and the SDK. You will drive the growth of the team, set the bar for quality and documentation, and ship on a predictable cadence. /p h3bWhat you’ll do /b /h3 ul liOwn the software development from a management perspective, being responsible for the deliverables and their quality, distributing the workload among team members, prioritizing the various activities, and reviewing the teamwork. /li liBe responsible for ensuring the correct exchange of information between the hardware and software teams, and handle the software part of our hardware/software co-design. package them for real-world projects, and maintain stability as hardware evolves. /li liCreate integration kits, reference designs for MCUs and accelerators, ready-to-build projects, and step-by-step guides that our customers and partners can follow. /br/ /li /ul h3bOutcomes (first 18 months) /b /h3 ul liA production-level software suite with code, docs, and references for one MCU platform and one accelerator. /li liA benchmark and profiling suite, with visible improvements in latency and energy across releases /li /ul h3bRequirements /b /h3 ul li7+ years building low-level software or compilers; strong C++ and Python /li liA track record of shipping complete projects end-to-end, /li liExperience with roadmaps and reviews. Ability to work and lead independently, starting from top-level goals as input and producing a complete development plan, including planning (Jira, MS Project) /li liHands-on with at least one of: MLIR/LLVM passes, code generation, graph compilers, or high-performance DSP libraries. /li liExperience with packaging software for external developers. /li liMCU bring-up expertise and familiarity with toolchains /li liDeep learning and AI understanding and expertise, including quantization and edge-specific optimizations /li /ul h3Interview flow (indicative) /h3 ol li30-min intro with HR (role/context) /li liFirst Technical deep dive /li liSecond Technical Deep Dive /li li(Optional) Third Technical Deep Dive /li liSystems/product conversation with management /li /ol /p #J-18808-Ljbffr