Technical Support Engineer - Porting Team

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. We are looking for a Staff Digital Design Engineer to help define, build, and optimize high-performance IP and SoC architectures for next-gen AI and compute workloads. This role is ideal for engineers who thrive at the intersection of microarchitecture, RTL implementation, and performance-aware design. This role is hybrid, based out of Toronto, Ottawa, Boston, or Austin. 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 digital design expert with a deep understanding of computer architecture and IP microarchitecture. Skilled in RTL development (Verilog/VHDL) and familiar with full ASIC flows. Comfortable optimizing for power, performance, and area (PPA) under aggressive design goals. A naturally collaborative and technical engineer — you thrive in spec definition, peer reviews, and team-wide planning. What We Need Architecture and RTL implementation of Tenstorrent’s custom IP blocks and SoC components. Performance-aware design decisions for compute, interconnect, or memory-heavy blocks. Occasional contributions to validation using emulation, FPGA prototyping, or UVM flows. Strong synthesis and timing closure awareness to support backend

Senior Tooling Engineer About the Role The Senior Tooling Engineer is responsible for leading and optimizing tooling development from initial tooling design through mass production sustaining with ODMs (Original Design Manufacturers) and CMs (Contract Manufacturers). This role plays a critical part in ensuring that tooling design meets strict quality, throughput, and cost targets while driving Design for Manufacturing (DFM) and Design for Assembly (DFA) in close collaboration with internal Mechanical Engineering, Quality, and Supply Chain teams. The ideal candidate possesses deep hands-on expertise in plastic injection molding, sheet metal stamping, die casting, hydroforming, and tooling fabrication processes, along with proven cross-functional communication and supplier management skills. Your Daily Impact at Peloton DFM & Engineering Collaboration: Collaborate with cross-functional engineering teams (ME, ID, Hardware, Quality) to conduct robust DFM/DFA reviews, guiding process selection, material selection, and tooling qualification plans. Tooling Design & Validation: Lead technical reviews for tooling designs, mold layouts, and drawings (including Moldflow simulation, gate placement, cooling, parting lines, and ejector pin layouts). Validate tooling designs with suppliers and toolmakers to proactively troubleshoot issues. NPI Execution: Drive tooling deliverables across all Hardware Product Development phases (Alpha, EVT, DVT, PVT) to support key NPI programs, ensuring timely OK2TOOL and OK2FAB approvals. Supplier & ODM/CM Management: Work closely with ODMs and CMs to manage tooling build progress, trial runs (T1/T2), root cause troubleshooting, and yield improvements on the manufacturing floor. Maintenance & Tooling Audits: Establish and maintain supplier-facing tooling maintenance standards and asset management procedures. Conduct on-site supplier and tooling audits to ensure quality maintenance and mold longevity. PPAP & Quality Alignment:

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 C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you. This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates within Poland on a case-by-case status. 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 in C++ and low-level systems programming, especially in performance-critical code. Comfortable thinking in tensors, memory layout, and compiler graphs. Familiar with PyTorch and curious about how frameworks map to hardware. A builder who enjoys solving technical puzzles and digging into the details. What We Need Extend and optimize our ML training framework with new ops, layers, and training features. Debug and tune model performance on Tenstorrent chips. Work with compiler and kernel teams to make sure models compile and run as expected. Support integration of real-world models

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Role: We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage —enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization. Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you. What you’ll do: Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them. Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments. Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts. Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, a

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. We're looking for an Engineering Program Manager — or a technical engineer ready to move into program management — to help drive execution on our RISC-V CPU team. You'll work across architecture, design, verification, physical design, and DFT to keep a high-performance CPU program moving from spec through tapeout and post-silicon debug. Partnering with a senior program lead and engineering managers, you'll own schedules, track milestones, surface risks early, and keep cross-functional teams aligned. This role is hybrid, based out of Austin, TX or Santa Clara, CA. 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 Experience in CPU, SoC, or silicon development — as an engineer, technical lead, or program manager. Comfortable working with cross-functional engineering teams and translating technical detail into clear status, dependencies, and trade-offs. Organized and proactive; you chase down open items rather than waiting for them to resolve. A clear communicator who can hold your own in engineering discussions and write updates leadership can act on. What We Need Support the full CPU development cycle — spec, design, verification, DFT, ta

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Addepar has experienced exponential growth in the Institutional market segment, which includes endowments, foundations, pensions, sovereigns, OCIOs, insurers, and alternative asset managers across all asset classes. Some of the largest asset owners in the world have chosen to partner with us deeply at the very core of their tech stack, and simultaneously, global alternative managers such as private equity, venture capital, and fund-of-funds are choosing Addepar to power their business and future growth strategy. NYC has been the Institutional team’s launchpad, and we are looking for a seasoned, client-focused Senior Solutions Engineer to continue growing our global presence in the institutional vertical. This is an incredibly unique opportunity to help establish and grow a hyper-growth line of business within an already-global technology company. As a strategic partner throughout the sales process, you will lead high-stakes engagements with C-Suite executives and key stakeholders, leveraging your deep understanding of financial software and the investment management industry to position Addepar as a mission-critical component of their long-term business strategy. You will work with Senior Account Executives to drive the technical side