Software Toolchain Engineer

Job Description
We are looking for a Software Toolchain Engineer to join our engineering team. In this role, you will be developing, maintaining, and optimizing software development toolchains, including compilers, linkers, debuggers, build systems, and related infrastructure. In particular, the focus is on Software Development Kit (SDK) porting and retargeting pretrained neural network models on an AI inference engine.

How You Will Contribute And What You Will Learn

• Design, develop, and maintain software development toolchain, including compilers, linkers, debuggers, static analysis tools, code generators, and build systems.
• Adopt and customize third-party and open-source tools and technologies to meet specific needs.
• Identify bottlenecks and areas for improvement within the existing toolchain.
• Optimize performance and output for specific hardware targets based on a hardware-accelerated multi-core RISC-V system.
• Collaborate with AI/ML experts, hardware and embedded software engineers.
• Develop SDK: native API, libraries, plugin to PyTorch and/or TensorFlow backend.
• Develop user environment from PyTorch to instruction simulator.

Key Skills And Experience
You have:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience in software toolchain.
• Strong proficiency in C/C++, Python, PyTorch.
• Deep working knowledge of compiler internals and linking/loading processes. Experience in CUDA.
• Understanding of AI neural-network architectures, and formats such as ONNX. Neural-network optimizations such as model quantization, pruning.
• Understanding of systems-level topics like memory management, scheduling, and multi-core compute.
• Experience with version control systems like Git. At least one major compiler infrastructure (e.g., GCC).

It would be nice if you also had:

• Contributions to open-source compiler or toolchain projects.
• Experience in programming kernel functions. Familiarity with deployment to edge devices or cloud inference platforms.
• Knowledge of low-level programming, embedded systems, or hardware architectures (CPU/DSP/GPU).

About Us
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World's Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.

About The Team
Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced nine

Nobel Prizes, five Turing Awards and numerous other awards.