Software Engineer, Metal Runtime (Core Systems)

Tenstorrent; Santa Clara, Austin (CA, TX); Hybrid; USD 100,000 - 500,000; Full time

Benefits offered by this job

Competitive compensation package

Benefits

Equal opportunity employer

Job summary

Tenstorrent, based in Santa Clara, CA, is seeking a Software Engineer for their Metal Runtime team. This hybrid role focuses on optimizing high-performance systems that execute on their AI accelerators. Candidates will work at the hardware/software boundary to enhance performance and efficiency.

The ideal applicant will be proficient in C or C++, with experience in debugging and parallel programming. Compensation ranges from $100k to $500k based on experience and skills.

Qualifications

• Strong coding skills in C or C++, with experience in hardware interaction.
• Familiarity with threading, processors, and memory concepts.
• Experience in optimizing scheduling and memory systems.

Responsibilities

• Build and optimize the Metal runtime for AI accelerators.
• Develop systems for compute execution and scheduling.
• Optimize data movement across parallel hardware.

Skills

C/C++ expertise

Parallel programming

Debugging skills

Performance optimization

Collaboration

Job description

Software Engineer, Metal Runtime (Core Systems)

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.

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll build and optimize high-performance runtime systems that execute directly on the hardware, focusing on scheduling, memory movement, and efficient execution across massively parallel processors. We believe runtime systems are a core part of performance: they determine how hardware resources are utilized, how data flows through the system, and how efficiently workloads are executed at scale.

If you enjoy pushing performance, working close to the metal, and solving complex systems challenges at the hardware/software boundary, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

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

• Strong coder in C or C++, and love working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement, and experienced writing fast, parallel code across multiple processors.
• Enjoy optimizing execution, scheduling, and memory systems for performance at scale.
• Comfortable debugging at the hardware/software boundary and reasoning about system behavior end-to-end.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Build and optimize the Metal runtime that executes directly on our AI accelerators.
• Develop bare-metal systems that manage compute execution, scheduling, and resource utilization.
• Optimize memory movement and data flow across massively parallel hardware.
• Work closely with hardware teams to maximize performance and efficiency of our architecture.
• Debug, analyze, and tune runtime behavior across complex, distributed systems.

What You Will Learn

• How to design high-performance runtime systems for cutting-edge AI hardware.
• How execution, scheduling, and memory systems interact at scale.
• How to make custom ASICs and co-processors work efficiently across the chip.
• Best practices for debugging complex, performance-critical software.
• How software and hardware co-evolve in a fast-paced AI startup.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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.