Head of Software

At Tetra Mem, we are redefining the future of AI with our groundbreaking innovations in In-Memory Computing. Leveraging world-record multi-level RRAM technology, we deliver highly efficient solutions for AI computations, enabling superior performance and energy efficiency across applications ranging from edge devices to data centers. Our talented team of engineers and industry-leading executives drives this progress, making Tetra Mem a leader in advanced memory technologies.
If you are passionate about cutting-edge technology and thrive in a fast-paced, collaborative environment, Tetra Mem is the place for you. Join our global team to shape the future of AI computations and sustainable technology solutions while working at the forefront of innovation. Together, we can make a lasting impact.

Are you ready for new challenges and new opportunities?

Join our team!

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• Define and execute Tetra Mem’s overall software roadmap, covering machine learning frameworks, compiler tool chains, SDKs, and embedded software platforms. Build and scale a world-class software organization while setting engineering standards, processes, and long-term architecture direction.
• Oversee ML model development for edge AI applications. Drive advanced model optimization techniques including quantization, pruning, and compression tailored for Tetra Mem’s AI accelerators. Collaborate with hardware and SDK teams to enable efficient deployment across power- and memory-constrained environments.
• Compiler and Toolchain Development
  • Lead development of compiler tool chains that translate deep learning models onto novel in-memory computing hardware. Innovate on inference optimization for speed, power efficiency, and performance. Ensure seamless integration with mainstream ML frameworks and industry workflows.
• Embedded and Systems Software
  • Guide the design and optimization of embedded software, firmware, and drivers supporting FPGA and ASIC platforms. Ensure real-time performance, reliability, security, and scalability for AI workloads. Support system-level performance tuning across software and hardware boundaries.
• Cross-Functional Collaboration
  • Work closely with architecture, silicon design, and product teams to deliver tightly integrated solutions. Support customer engagements, demos, and early deployments as the company moves from R&D into commercialization.
• Team Building and Mentorship
  • Recruit, develop, and mentor senior engineers and technical leaders across ML, compiler, and embedded software teams. Foster a culture of innovation, execution excellence, and collaboration.

Requirements:

• 5+ years of experience in software engineering, with leadership roles in ML systems, compilers, embedded software, or AI infrastructure
• Strong background in machine learning frameworks, model optimization, and AI inference systems
• Deep understanding of compiler design and tool chains for specialized hardware or accelerators
• Experience with embedded systems, firmware, and low-level performance optimization on FPGA or ASIC platforms
• Proven ability to build and scale high-performing technical teams
• Strong cross-functional leadership and communication skills
• Experience working with hardware teams in a deep-tech or semiconductor environment preferred

Salary Range: $200,000 - $350,000 / year