AI Frameworks Engineer

Location: Gdansk, Poland. Hybrid work model with time split between the assigned hirify.global site and off-site work.

Annual salary: 215,740–388,330 PLN.

Company

hirify.global develops hardware and software technologies for data centers, including AI frameworks and workloads for high-performance, scalable computing.

What you will do

• Design, develop, and optimize AI framework software for LLM inference on hirify.global GPUs.
• Contribute upstream to open-source frameworks such as vLLM and PyTorch.
• Develop and tune compute kernels for attention, mixture-of-experts, quantization, normalization, and other transformer operations.
• Implement distributed execution paths, including tensor, pipeline, and data parallelism, collective communication, and asynchronous data movement.
• Optimize computational graphs, machine learning primitives, and implementations for different hardware backends.
• Profile workloads, resolve performance bottlenecks, and build correctness and performance regression tests.

Requirements

• Bachelor’s degree in AI, Computer Science, Computer Engineering, Mathematics, Physics, or a related field, with 2–3 years of relevant experience; or a master’s degree with 1+ year of experience.
• Advanced Python programming and demonstrated proficiency with PyTorch, including its internals or extension mechanisms.
• Hands-on experience with AI inference and large language models.
• Strong problem-solving, debugging, algorithm design, Linux, AI frameworks, machine learning, and software engineering skills.
• Ability to work in the hybrid model in Gdansk, Poland, including on-site work at the assigned hirify.global site.

Nice to have

• Experience with GPU compute kernels such as Triton, CUDA, SYCL, or OpenCL.
• Experience profiling and optimizing AI workloads using hardware-level performance data.
• Knowledge of parallel and distributed computing, collective communication libraries, vLLM, or other LLM serving frameworks.
• Accepted contributions to major open-source AI projects.
• Knowledge of numerical precision and quantization formats including FP8, INT8, and INT4.

Culture & Benefits

• Flexible working hours and a safe work environment at home or on company premises.
• Technical and soft-skills training, innovation projects, and rotational programs.
• Stock program, annual and quarterly bonuses, employee pension plan, medical plan, and life insurance.
• Restaurant, Multisport, and holiday cards, peer recognition, employee discounts, enthusiast groups, and company events.
• Collaboration with framework, compiler, and machine learning engineers across global teams and the open-source community.