Join our company's software tools team and contribute to widely used open source based toolchains while building tools that run on real hardware across millions of devices. Our team embraces an AI-agentic development flow – using AI coding agents as part of everyday engineering – and we want engineers who are excited to work this way from day one.
Responsibilities
Contribute to our company's open source based toolchain targeting custom DSP and NPU architectures.
Analyze and optimize toolchain output for performance and correctness across our company processor families.
Apply AI-agentic development practices in day-to-day work – using AI coding agents to accelerate development.
Collaborate with architecture, hardware, and software teams.
Responsibilities
Contribute to our company's open source based toolchain targeting custom DSP and NPU architectures.
Analyze and optimize toolchain output for performance and correctness across our company processor families.
Apply AI-agentic development practices in day-to-day work – using AI coding agents to accelerate development.
Collaborate with architecture, hardware, and software teams.
Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or related field.
Strong C++ skills.
Proficiency in Python.
Good understanding of algorithms, data structures, and software engineering principles.
Analytical mindset with strong problem-solving skills.
Good communication skills; independent and self-motivated.
Advantages:
Experience with AI-agentic development – using AI coding agents (e.g. GitHub Copilot, Cursor, Claude Code) in software development workflows.
Exposure to software development through coursework, personal projects, or internships.
Knowledge of AI/ML frameworks or neural network models.
Familiarity with embedded systems, DSP or NPU architectures.
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or related field.
Strong C++ skills.
Proficiency in Python.
Good understanding of algorithms, data structures, and software engineering principles.
Analytical mindset with strong problem-solving skills.
Good communication skills; independent and self-motivated.
Advantages:
Experience with AI-agentic development – using AI coding agents (e.g. GitHub Copilot, Cursor, Claude Code) in software development workflows.
Exposure to software development through coursework, personal projects, or internships.
Knowledge of AI/ML frameworks or neural network models.
Familiarity with embedded systems, DSP or NPU architectures.
This position is open to all candidates.
