Lead Software Engineer

Job Title

Lead Software Engineer

Role Summary

Lead the software group responsible for making ComputeRAM® usable across targets from microcontrollers to accelerators. Set strategy and own hands-on delivery across drivers, compiler paths, code generation, kernels, benchmarking, and the SDK.

Work closely with hardware engineers and early customers to turn silicon capability into a developer-facing product, provide feedback to hardware designers, and establish quality and documentation standards.

Experience Level

Senior — 7+ years (systems, compilers, or embedded)

Responsibilities

Manage and deliver the software stack and developer experience for ComputeRAM, coordinating across hardware and product teams.

• Own delivery and quality of software deliverables; prioritize work and distribute tasks across the team.
• Ensure correct information exchange between hardware and software teams; lead hardware/software co-design interactions.
• Define and implement programming model, drivers, kernels, examples, and packaging for developer use.
• Set compiler development priorities and drive code generation and compiler paths to meet customer needs.
• Create integration kits and reference designs for MCU and accelerator targets, with ready-to-build examples and documentation.
• Grow and mentor the team: hiring, reviews, setting ownership boundaries, and enforcing engineering standards.
• Provide actionable feedback to hardware designers to simplify usage and improve system performance.
• Establish benchmarking and profiling practices to measure latency and energy improvements across releases.

Requirements

Must-have skills and experience.

• 7+ years building low-level software or compilers; proven track record shipping complete projects end-to-end.
• Strong C++ and Python skills.
• Experience with product roadmaps, technical reviews, and planning tools (e.g., Jira, MS Project); ability to produce development plans from top-level goals.
• Hands-on experience with at least one of: MLIR/LLVM passes, code generation, graph compilers, or high-performance DSP libraries.
• Ability to read hardware specifications, define clean APIs, and negotiate trade-offs between software and hardware design.

Nice-to-have.

• Experience integrating with TensorFlow Lite for Micro.
• Experience packaging software for external developers and MCU bring-up toolchains.
• Deep learning/AI knowledge, including quantization and edge-specific optimizations.

Education Requirements

Not specified.

About the Company

Company: Synthara

Headquarters: Zürich, Switzerland

Synthara develops ComputeRAM® hardware and software for efficient on-device AI, providing compilers, drivers, SDKs and tooling to enable AI workloads from microcontrollers to accelerators, with a focus on hardware/software co-design and developer usability.