About the role

Aplyr's Quick Take

This role is for a Software Engineer focused on kernel development and optimization for AI workloads. You'll be writing low-level C++ code to enhance the performance of hardware, particularly in machine learning and high-performance computing contexts. It's an individual contributor role with a strong emphasis on problem-solving and performance metrics.

Good fit

Ideal candidates have a solid background in systems programming, particularly with C++, and experience in performance optimization. You should be comfortable with complex debugging and have a structured approach to tackling performance issues.

Worth noting

The company is open to candidates at various experience levels, which may lead to different offer levels than initially posted. The role is hybrid, based in either Warsaw or Gdańsk.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is building next-generation AI compute. The Kernel Development and Optimization team develops the performance-critical kernels that unlock the full capability of our hardware across ML and HPC workloads.

This role is hybrid based out of Warsaw or Gdansk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

A strong C++ systems engineer with experience writing performance-critical or low-level software.
Comfortable reasoning about concurrency, synchronization, latency hiding, and compute versus memory trade-offs.
Data-driven in your approach, using profiling and benchmarking results to guide optimization decisions.
Effective at debugging complex runtime or kernel-level issues in large codebases.
Structured thinker who can break down ambiguous performance problems into measurable experiments.

What We Need

Engineers who can design, implement, and optimize GPU-style kernels such as matrix multiplication, attention primitives, and data-movement operations.
Clear ownership of performance, from identifying bottlenecks to delivering measurable throughput improvements.
Contribution to host-side orchestration code and parallelization strategies.
Development of micro-benchmarks, regression tests, and tooling to ensure correctness and sustained performance gains.
Close collaboration with compiler, runtime, ML, and hardware teams to integrate kernels into production systems.

What You Will Learn

The execution model, memory architecture, and performance characteristics of Tenstorrent AI hardware.
How to write and optimize accelerator kernels outside traditional CUDA-first ecosystems.
Practical AI-assisted and agentic workflows for kernel generation, debugging, and optimization.
How to translate performance intuition into rigorous, reproducible engineering results.
How low-level kernels, compilers, runtime systems, and hardware co-evolve in modern AI platforms.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Skills & Tags

go aws ai ios data product design

Aplyr's read

Tenstorrent is a cutting-edge AI hardware company attracting talent in advanced computing and machine learning, with a focus on innovative engineering roles.
Synthesized from recent postings & public sources

What's promising

•Tenstorrent is at the forefront of AI hardware development, offering opportunities in cutting-edge technology.
•The company hires for specialized roles, indicating a focus on innovation and technical excellence.
•Tenstorrent's growth in AI and machine learning positions it well in a rapidly evolving industry.

What to watch

•The niche focus on AI hardware may limit opportunities for broader tech roles.
•Rapid industry changes could pose challenges in maintaining competitive advantage.
•High specialization in roles may lead to a narrow career path for some employees.

Why Tenstorrent

•Tenstorrent's emphasis on RISC-V architecture sets it apart in the AI hardware space.
•The company offers a unique blend of roles in AI and automotive robotics.
•Tenstorrent's focus on advanced computing solutions differentiates it from general tech firms.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Tenstorrent

Tenstorrent

tenstorrent.com

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Tenstorrent is a technology company focused on developing advanced computing solutions, particularly in the field of artificial intelligence and machine learning.