Verify the fetch unit for next-gen high-performance RISC-V CPU cores, including instruction fetch, prediction, decode, and dispatch.
Develop verification strategies, create sophisticated tests, and debug complex failures using SystemVerilog and UVM.
Collaborate with CPU architects and RTL designers to ensure front-end correctness across workloads and corner cases.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. 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.
Work closely with CPU architects, RTL designers, and software engineers to develop verification strategies.
Build robust test environments and uncover corner cases in modern out-of-order processors.
Own meaningful portions of the verification effort from test plans to debugging failures.
Tenstorrent is a leader in AI technology, developing high-performance RISC-V CPUs and AI platforms. The company values collaboration, curiosity, and solving hard problems, and is growing its team with contributors of all seniorities.
Evaluate GPU kernel tasks for technical accuracy, realism, solvability, reproducibility, and robust testing criteria.
Rigorously test and troubleshoot complex GPU programming scenarios to identify memory allocation bugs, execution bottlenecks, and parallel computing logic errors.
Review CUDA, Triton, and other GPU kernel implementations and provide clear, actionable technical feedback.
Our partner is a company specializing in AI training and evaluation, seeking experienced GPU kernel specialists to audit AI training tasks. The project is globally distributed and offers fully remote freelance work.
Lead the architecture and delivery of a large-scale GPU infrastructure platform, evolving from managed Kubernetes to bare-metal with Slurm and inference support.
Manage a distributed engineering team across backend, frontend, DevOps, QA, and documentation, setting technical standards and overseeing implementation.
Own GPU infrastructure operations, including Slurm, Kubernetes, NVIDIA hardware, observability, and incident response, while acting as the primary technical interface with partners.
Jobgether is an AI-powered job matching platform that connects candidates with relevant roles, ensuring a fair and objective review process. It operates with a distributed team and partners with companies globally, focusing on efficient and transparent recruitment.
Own the technical architecture and roadmap for a multi-RAT RAN digital twin covering LTE and 5G NR.
Integrate production MAC and scheduler software into deterministic closed-loop simulations with stable interfaces.
Develop AI/ML-based RAN capabilities including neural channel estimation and learned scheduling policies.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. The company culture emphasizes software-centric, hardware-agnostic approaches to reduce complexity and total cost of ownership.