Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. 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

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

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.

Tenstorrent is seeking an exceptional Senior-level Physical Design Engineer to drive top-level implementation of our complex AI and CPU System-on-Chip designs. You'll orchestrate cross-disciplinary collaboration, implementing sophisticated floorplans, power grids, and clock networks while ensuring design closure at the chip level. If you excel at managing the complexity of full-chip physical design and want to deliver next-generation AI hardware, we need your expertise.

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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 seasoned physical design engineer who thrives on complex, full-chip implementation challenges.
• Expert at collaborating across disciplines, working effectively with architecture, RTL, and packaging teams.
• Passionate about optimizing chip-level implementations for power, performance, and area.
• Detail-oriented professional who drives design closure while maintaining quality and meeting aggressive schedules.

What We Need

• 8+ years of top-level SOC physical design experience on complex, multi-million gate designs.
• Deep expertise in hierarchical floorplanning, fabric implementation, power grid design, and global clock distribution.
• Proven track record with bump planning, RDL implementation, and multi-voltage domain designs.
• Mastery of timing closure, EM/IR analysis, and physical verification at the chip level.

What You Will Learn

• How to implement cutting-edge AI accelerators and high-performance CPUs at the SOC level.
• Advanced techniques for chiplet integration and next-generation packaging co-design.
• Strategies for optimizing massive designs with complex power domains and clock architectures.
• Methods for driving successful chip-level closure through effective cross-functional collaboration.

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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

Tenstorrent is seeking an experienced EDA/PDK CAD Engineer to build and maintain world-class design infrastructure that accelerates our silicon innovation. In this role, you'll install and optimize PDKs, manage EDA tool flows, and partner with analog, digital, and software teams to continuously improve design efficiency. If you're passionate about solving complex CAD challenges and enabling cutting-edge chip design, we want you on our team.

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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 self-driven problem solver with deep knowledge of PDKs, EDA tools, and IC design flows.
• Experienced in troubleshooting complex CAD issues and developing creative work-around solutions.
• Collaborative communicator who actively seeks feedback to improve team productivity.
• Passionate about challenging industry-leading tools and methodologies to drive continuous improvement.

What We Need

• BS, MS, or Ph.D. in Electrical Engineering and/or Computer Science with 5+ years of industry experience.
• Hands-on expertise installing, configuring, and maintaining PDKs and EDA environments.
• Strong background supporting physical verification flows (DRC, LVS, EM/IR, extraction) and mixed-signal simulation.
• Proven ability to work with vendors, foundries, and cross-functional teams to resolve technical issues.

What You Will Learn

• How to architect and scale design infrastructure for state-of-the-art AI silicon development.
• Advanced techniques for optimizing EDA flows across analog, digital, and mixed-signal domains.
• Direct collaboration with world-class engineers to shape tools and methodologies that define industry standards.
• Best practices for proactive CAD support and continuous flow improvement in a fast-paced innovation environment.

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.

Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you.

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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 seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure.
• A hands-on problem solver who excels at debugging and driving signoff through complex verification flows.
• A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces.
• A mentor and technical leader passionate about building efficient, manufacturable silicon.
  
  

What We Need

• BS/MS in Electrical/Electronics Engineering (or related) with 7–14 years of hands-on CPU/IP/SoC physical verification experience.
• Proven expertise in DRC, LVS, ERC, PERC, Antenna, and DFM verification using industry-standard tools and flows (Calibre, ICV, Pegasus, FC, Innovus, etc.).
• Strong background in ESD planning, padring integration, bump/RDL strategies, and reliability analysis (IR drop, EM), with solid understanding of advanced nodes (7nm, 5nm, 3nm) and FinFET design challenges.
• Scripting proficiency in Python and TCL for automation and flow optimization.

What You Will Learn

• Advanced physical verification methodologies and flow optimization for next-generation SoCs.
• Integration and verification strategies for full-chip signoff across advanced process technologies.
• Cross-functional collaboration across design, CAD, and foundry teams to ensure flawless tapeouts.
• Leadership and mentoring opportunities in building scalable PV methodologies and automation.

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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

We’re looking for a Timing Engineer to join our silicon team. In this role, you’ll drive static timing analysis and closure for complex, high-performance designs. You’ll collaborate closely with logic, DFT, and physical design teams to debug constraints, optimize paths, and ensure our chips meet performance targets across corners and modes.

This role is hybrid, based out of Austin, TX, Fort Collins, CO, 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

• Experienced in STA and passionate about enabling silicon to meet aggressive performance goals.
• Analytical and detail-oriented, with a strong understanding of timing paths, constraints, and optimization strategies.
• A collaborative team player who works well across logic, DFT, and physical design boundaries.
• Resourceful and self-driven, capable of developing scripts and methodologies that improve timing closure workflows.

What We Need

• 7+ years of industry experience and a proven record of successful tapeouts.
• Deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• Proficiency in writing and debugging SDC constraints, creating ECOs, and developing closure strategies.
• Strong scripting skills in Python, Perl, and TCL to support automation and flow development.
• Familiarity with SPICE modeling and worst-case corner analysis.

What You Will Learn

• How to close timing on Tenstorrent’s high-performance RISC-V CPUs and AI SoCs.
• Advanced STA methodologies tailored to modern sub-micron process technologies.
• How to collaborate with world-class engineers across RTL, DFT, and physical design teams.
• How to influence chip performance through timing methodology innovation and automation.

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.

As a Senior Chiplet Physical Design Engineer at Tenstorrent, you will work on a high-profile, cutting-edge program designing and integrating multiple chiplets into a System-in-Package (SiP). You’ll collaborate closely with Tenstorrent experts and leaders across the USA, Japan, and other global sites, as well as external partners, to deliver world-class CPU and AI silicon. In this role, you will own critical aspects of synthesis and place-and-route for high-speed CPU core designs, contributing directly to performance, power, and area outcomes on advanced process nodes.

This role is remote, based out of The United States.

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

• An experienced physical design engineer who thrives in complex, multi-stakeholder projects.
• Detail-driven, with a strong sense of ownership from synthesis through design closure.
• Comfortable working at advanced nodes (3nm and below) and multi-GHz designs.
• A collaborative team player who enjoys mentoring others and influencing methodology.
• Clear communicator who can balance technical depth with schedule and resource constraints.

What We Need

• Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or Computer Science.
• 10+ years of industry experience in physical design for CPU, or GPU products.
• Strong hands-on experience with Synopsys and/or Cadence tools across synthesis, P&R, and closure.
• Proven expertise in timing closure, ECO flows, and PV convergence at block and chip level.
• Proficiency in scripting (TCL required; Python or similar strongly preferred) and strong English communication skills.

What You Will Learn

• How large-scale chiplet-based systems are architected, implemented, and integrated into SiP solutions.
• Best practices for achieving timing and power convergence on advanced silicon technologies.
• How physical design decisions impact system-level performance and scalability.
• Effective collaboration across global teams and external partners.
• How Tenstorrent evolves and standardizes physical design methodologies across projects.

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.

Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade.

This role is hybrid, based out of Toronto, ON or Austin, TX.

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

• Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development.
• Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms.
• Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines.
• Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios.
• Motivated by AI hardware and eager to learn verification strategies for new architectures and domains.

What We Need

• Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning coverage goals and driving them to closure.
• Build and maintain reusable verification environments, agents, scoreboards, and supporting infrastructure in SystemVerilog and Python.
• Develop constrained-random and directed tests and close functional, code, and assertion coverage using data-driven approaches.
• Debug complex issues across RTL and testbench while collaborating with design, firmware, compiler, and architecture teams.
• Help evolve DV infrastructure including regression flows, CI/CD integration, EDA compute environments, and reproducible setups.

What You Will Learn

• How Tenstorrent verifies AI-native compute architectures including Tensix cores, RISC-V CPUs, matrix units, vector units, and datapath.
• How simulation, emulation, and software-driven workloads combine to validate both functional correctness and performance.
• How numerical precision formats such as BF16, FP4, and INT8 and on-chip dataflow impact verification complexity and coverage strategy.
• How to build scalable DV infrastructure across hybrid compute environments including containerized regression systems.
• How data analytics and modern AI tooling can enhance verification workflows and accelerate convergence.

As a Staff Design for Test STA Engineer at Tenstorrent, you will be a key technical leader in ensuring the testability, quality, and performance of our next-generation AI processors. This role requires a good understanding of both Design for Test (DFT) architecture and implementation, as well as comprehensive expertise in Static Timing Analysis (STA) for complex SoCs. You will be responsible for defining and implementing the full DFT methodology for our high-speed, multi-core designs, owning the top-level timing constraints and sign-off for all DFT modes, and collaborating closely with RTL, Physical Design, and Product Engineering teams to achieve first-pass silicon success.

This role is hybrid, based out of Santa Clara, CA or Austin, TX.

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

• Deep knowledge of core DFT concepts including Scan Compression and insertion, Memory BIST and repair schemes, JTAG/IJTAG, and at-speed test methodologies.
• Comprehensive understanding of Clock Domain Crossings (CDC), Reset Domain Crossings (RDC), timing sign-off modes and constraints, and proficiency in using industry-leading Static Timing Analysis tools (e.g., Synopsys PrimeTime, Cadence Tempus etc).
• Deep knowledge of DFT specific timing modes including JTAG, Scan Shift, Scan Slow Capture, Scan Fast Capture, Memory BIST etc.
• Experience in Verilog/SystemVerilog RTL coding and back-annotated gate-level verification.

What We Need

• Coordinate DFT requirements across SOC, IP and product teams and work closely with multi-functional teams to support DFT RTL level insertion, synthesis and scan insertion, place-and-route, and static-timing-analysis and timing closure.
• Lead the definition, generation, and validation of comprehensive DFT timing constraints (SDC) to ensure timing closure for all test modes (e.g., Scan, JTAG, Memory BIST).
• Own the STA sign-off for DFT modes at both the block and top-level, including corners and operating conditions, using industry-standard tools (e.g., PrimeTime, Tempus etc).
• Work closely with the Physical Design team (Synthesis, P&R) to drive timing convergence, resolve complex timing violations, and generate necessary timing ECOs.
• Identify and implement improvements to existing DFT and STA flows, enhancing efficiency and robustness.
• Participate in ATE targeted test patterns, validation and silicon- debug
• Work closely with test and product engineering teams on silicon characterization and validation.

What You Will Learn

• Advanced Design for Test (DFT) methodologies for cutting-edge AI processor architectures, including comprehensive scan insertion, Memory BIST, and at-speed test strategies
• In-depth Static Timing Analysis (STA) techniques for complex multi-core SoCs, mastering industry-standard tools like PrimeTime and Tempus to ensure timing closure across diverse operational modes
• Sophisticated cross-functional collaboration skills, working seamlessly with RTL, Physical Design, and Product Engineering teams to drive first-pass silicon success
• Innovative problem-solving approaches for resolving complex timing violations and optimizing test flows in high-performance semiconductor design environments

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.

Tenstorrent is seeking a talented Physical Design Engineer to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

This role is hybrid, based out of Austin, TX or Santa Clara, CA or Fort Collins, CO.

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 hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
• Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
• Strong problem solver who excels at debugging complex issues across design hierarchies.
• Collaborative team player who thrives in fast-paced, technically challenging environments.

What We Need

• BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
• Expertise with industry-standard tools (FusionCompiler, PrimeTime, RedHawk) and scripting languages (Tcl, Perl, Python).
• Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
• Experience driving physical design requirements from early architecture through final signoff.

What You Will Learn

• How to implement cutting-edge AI accelerators, high-performance CPUs and the SOCs that host them on the most advanced process nodes.
• Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
• End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
• Direct impact on products that are redefining the landscape of AI and high-performance computing.

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.

Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, we’re reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent.

This role is hybrid, based out of Toronto, ON or Austin, TX.

We welcome candidates at various experience levels. 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

• An experienced architect with over 10 years in CPU performance modeling and microarchitecture.
• Proficient in C++ and Python, with a strong understanding of RISC-V instruction-set.
• Well versed in compiler design and how software stacks impact CPU performance and programmability.
• Familiar with open-source RISC-V cores and LLVM toolchains, including adding custom optimization passes.

What We Need

• Analyze AI workloads to identify CPU performance requirements and bottlenecks.
• Architect custom RISC-V CPU cores optimized for performance, power, and area.
• Design custom instructions that improve performance without sacrificing programmability.
• Collaborate across compilers, software, and hardware teams to co-design Tenstorrent’s next-gen compute architecture.

What You Will Learn

• How modern AI models stress CPU architecture and influence design decisions.
• The interplay between compiler design, CPU microarchitecture, and real-world performance.
• How Tenstorrent’s unified hardware-software stack enables breakthrough performance for general-purpose AI compute.

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

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 design fast, efficient runtime systems that run close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack. We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation.

If you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, 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 enjoy working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement.
• Care deeply about API design, abstraction boundaries, and developer experience in low-level systems.
• Experienced (or interested in) designing libraries or interfaces used by other engineers.
• Think about long-term maintainability, usability, and clarity when designing systems.
• 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

• Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently.
• Translate low-level hardware behavior into intuitive, high-performance abstractions.
• Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage.
• Ensure APIs balance performance, control, safety, and ease of use.
• Contribute to runtime implementation where needed to support API design and integration.
• Debug, analyze, and improve usability and performance across the software stack.

Nice to have:

• Experience designing or evolving non-trivial C++ APIs used by other engineers.
• Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar).

What You Will Learn

• How to design APIs and abstractions for cutting-edge AI hardware.
• How to balance performance, control, and usability in low-level system design.
• How to translate hardware capabilities into clean, developer-friendly interfaces.
• Best practices for building maintainable, high-performance systems 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.

RISC-V CPU RTL owner will play a key role in developing next-generation CPU design. This position requires a deep understanding of CPU design including Architecture, RTL, Design Verification, Physical Design Flow. The ideal candidate will drive the unit specification, RTL design, and unit verification.

This role is Remote, based out of The United States.

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.

Key Responsibilities:

• RISC-V CPU Unit Microarchitecture Specification: Define and develop microarchitecture specifications for the assigned unit (branch predictor, rename, instruction scheduling, vector execution, load/store, vector load/store support). The specification includes not only design, but also comprehensive analysis / strategy for verification and PPA (power, performance, area) closure.
• RISC-V CPU Core Unit RTL Design: The candidate will be responsible for the quality of RTL including design verification and PPA closure. This includes writing RTL, reviewing / refining unit verification environment, applying right RTL optimization to control PPA.
• AI Assisted Design Adaption: To maximize the team’s output, the candidate actively uses AI tools to accelerate the CPU design process.
• Mentoring Junior Engineers: depending on a seniority of the engineer, the engineer may mentor junior members in the team.

Qualifications:

• Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Proven track record of designing high-performance CPU RTL for x86, Arm, POWER, SPARC, or RISC-V.
• Deep understanding of design verification strategy and trade-offs for verification methodology (simulation, formal, various checkers, etc…)
• Deep understanding of CPU microarchitecture and PPA trade-off.
• Basic understanding of RISC-V Architecture including V-extension is preferred.
• Proficiency in hardware description languages (HDLs) such as Verilog, SystemVerilog or VHDL.
• Excellent problem-solving abilities and analytical skills.
• Strong communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Ability to work collaboratively in a team-oriented environment and across multiple disciplines.

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.

We are looking for a talented engineer to join our CPU design team to define and implement CPU system RTL. You’ll work to combine multiple cores, multiple clusters of cores, fabrics and subsystem components together, collaborating with DV, PD, architecture and performance teams to deliver a functional, timing, and power-converged design.

This role is hybrid, based out of Bengaluru, India.

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

• An experienced micro-architect who thrives in building CPU systems (multiple cores, multiple clusters of cores and subsystem components) from scratch.
• Skilled in RTL coding (Verilog/VHDL) and familiar with industry-standard tools for simulation, synthesis, and power analysis.
• Proficient in debugging RTL/logic across multiple design hierarchies and pre/post-silicon environments.
• Background in microarchitecture definition, design specification, and performance-driven trade-off analysis.

What We Need

• 10+ years of industry experience with strong CPU systems RTL and microarchitecture background.
• Collaborate closely with DV, PD, architecture and performance engineers to meet functional, timing, and power goals.
• Use innovative techniques to optimize power, performance, and area while driving RTL experiments and evaluating results.
• Partner with validation and test teams to ensure robust pre-silicon and post-silicon execution.
• Enhance RTL design environment, tools, and methodologies to improve development efficiency.

What You Will Learn

• End-to-end exposure to CPU design from microarchitecture through timing and power convergence.
• How to design and optimize a custom RISC-V CPU system from first principles.
• Integration of open-source and industry-standard tools to improve RTL flows and results.
• Work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges.

We are looking for a talented engineer to join our CPU design team to define and implement CPU system RTL. You’ll work to combine multiple cores, multiple clusters of cores, fabrics and subsystem components together, collaborating with DV, PD, architecture and performance teams to deliver a functional, timing, and power-converged design.

This role is hybrid, based out of Austin, TX, Fort Collins, CO 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

• An experienced micro-architect who thrives in building CPU systems (multiple cores, multiple clusters of cores and subsystem components) from scratch.
• Skilled in RTL coding (Verilog/VHDL) and familiar with industry-standard tools for simulation, synthesis, and power analysis.
• Proficient in debugging RTL/logic across multiple design hierarchies and pre/post-silicon environments.
• Background in microarchitecture definition, design specification, and performance-driven trade-off analysis.

What We Need

• 10+ years of industry experience with strong CPU systems RTL and microarchitecture background.
• Collaborate closely with DV, PD, architecture and performance engineers to meet functional, timing, and power goals.
• Use innovative techniques to optimize power, performance, and area while driving RTL experiments and evaluating results.
• Partner with validation and test teams to ensure robust pre-silicon and post-silicon execution.
• Enhance RTL design environment, tools, and methodologies to improve development efficiency.

What You Will Learn

• End-to-end exposure to CPU design from microarchitecture through timing and power convergence.
• How to design and optimize a custom RISC-V CPU system from first principles.
• Integration of open-source and industry-standard tools to improve RTL flows and results.
• Work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges.

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.

The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

This role is hybrid, based out of Santa Clara, CA or Austin, TX

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

• You have a BS/MS/PhD in EE/ECE/CE/CS with 5+ years of industry experience in advanced DFx/DFT for complex ASIC/SoC designs.
• You are fluent in Verilog RTL for DFT logic (lock-up latches, clock gates, scan anchors) and comfortable with SystemVerilog/UVM.
• You have hands-on experience with ATPG and DFx insertion tools, fault models (Stuck-at, Transition, Path Delay, IDDQ, Cell-Aware), and low-power design flows.
• You bring strong debug and problem-solving skills across design hierarchies and collaborate effectively with design, PD, verification, and test teams.

What We Need

• Implement and integrate DFT features (scan, JTAG, compression, ASST, MBIST) into RTL from early design through tapeout across multiple IPs.
• Own ATPG, test coverage analysis, and gate-level simulation (e.g., with Synopsys VCS/Verdi) to achieve and maintain high-quality test coverage.
• Plan, implement, and verify MBIST, and work closely with Test Engineering on test planning, pattern delivery, and debug.
• Develop and refine DFx flows and methodology that integrate cleanly with front-end and physical design flows, balancing coverage, test cost, and design intrusiveness.

What You Will Learn

• How to drive DFT for industry-leading AI/ML architectures, working on high-performance chips with aggressive performance and power targets.
• Practical strategies to reduce test cost while maintaining coverage, and to design DFT hooks that accelerate silicon bring-up and yield learning.
• How to minimize DFT intrusions while integrating cleanly with RTL, verification, physical design, and production test flows.
• How a senior, cross-functional ASIC team collaborates across design, PD, verification, and manufacturing to achieve first-pass silicon success on advanced nodes.

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.

Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions.

This role is hybrid, based out of Toronto, ON or 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

• A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field.
• Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating.
• Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB for automation and analytics.
• A strong debugger and collaborator, comfortable driving cross-functional investigations and clearly communicating technical findings.

What we need

• Own the post-silicon power measurement strategy end-to-end across operating modes, voltages, frequencies, and workloads.
• Build and maintain lab infrastructure, automated workflows, and data analysis pipelines for high-fidelity, repeatable power characterization.
• Correlate silicon power data to pre-silicon models (RTL, gate-level, sign-off), drive root-cause analysis, and refine power estimation methodologies with design and modeling teams.
• Characterize power across PVT corners and work with bring-up/validation teams to develop test content, debug power anomalies, and ensure products meet power and performance specs.

What you will learn

• How state-of-the-art SoCs behave in real silicon across diverse workloads, system configurations, and operating conditions.
• How to influence power architecture, RTL design, and modeling flows by feeding silicon insights directly back into early design phases.
• Best practices for building scalable, automated post-silicon power infrastructures that support multiple products and generations.
• Advanced correlation, margining, and variability analysis techniques that deepen your expertise in both SoC-level power and system-level behavior.

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.

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-based 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 talented engineer to join our CPU design team to drive infrastructure for performance analysis, correlation and verification. You’ll work on a CPU based on RISC-V ISA, collaborating with core architects and RTL teams to deliver a highly efficient and performant design.

This role is hybrid, based out of Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels. 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

• Great at identifying problems and developing solutions.
• Enjoys building tools and optimizing work flows.
• Skilled in C++ and Python, with an understanding of industry-standard tools for compilation, simulation and emulation.
• Proficient in debugging RTL/logic across multiple design hierarchies and pre-silicon environments.
• Knowledgeable in architecture and microarchitecture of high-performance CPU cores.
• Ideal candidates would possess experience in infrastructure, methodology and performance verification.

What We Need

• Join a team driving improvements in CPU microarchitecture, verify performance and correlate with the RTL.
• Enhance design environment, tools, and methodologies to improve development efficiency.
• Collaborate closely with RTL engineers and core architects to meet performance goals, debug miscorrelation and verify performance features.
• Use innovative techniques to optimize power, performance, and area while driving performance experiments and evaluating results.

What You Will Learn

• End-to-end exposure to CPU design from microarchitecture through performance convergence and validation.
• Hands-on experience optimizing CPU designs in both pre-silicon and post-silicon phases.
• Integration of open-source and industry-standard tools to improve flows and results.
• Work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges.

Tenstorrent is seeking an exceptional Senior-level SoC Physical Design Engineer to drive top-level implementation of our complex AI and CPU SoC designs. You'll orchestrate cross-disciplinary collaboration, implementing sophisticated floorplans, power grids, and clock networks while ensuring design closure at the chip level. If you excel at managing the complexity of full-chip physical design and want to deliver next-generation AI hardware, we need your expertise.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Ft. Collins, CO.

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 seasoned physical design engineer who thrives on complex, full-chip implementation challenges.
• Expert at collaborating across disciplines, working effectively with architecture, RTL, and packaging teams.
• Passionate about optimizing chip-level implementations for power, performance, and area.
• Detail-oriented professional who drives design closure while maintaining quality and meeting aggressive schedules

What We Need

• 8+ years of top-level SOC physical design experience on complex, multi-million gate designs.
• Deep expertise in hierarchical floorplanning, fabric implementation, power grid design, and global clock distribution.
• Proven track record with bump planning, RDL implementation, and multi-voltage domain designs.
• Mastery of timing closure, EM/IR analysis, and physical verification at the chip level.

What You Will Learn

• How to implement cutting-edge AI accelerators and high-performance CPUs at the SOC level.
• Advanced techniques for chiplet integration and next-generation packaging co-design.
• Strategies for optimizing massive designs with complex power domains and clock architectures.
• Methods for driving successful chip-level closure through effective cross-functional collaboration.

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.

We are seeking an IP Software Generalist to develop and optimize the software stack for our IP customers, enabling them to successfully integrate our AI and RISC-V hardware into their systems. In this role, you will build and support a versatile range of software components, from bare-metal firmware and drivers to system-level tools and APIs, ensuring a seamless customer experience. You will partner closely with hardware engineering, IP delivery, customer support, and product teams to deliver robust, scalable, and high-performance software solutions tailored to diverse customer architectures. Success in this role requires adaptability, strong system-level debugging skills, and the ability to bridge the gap between complex hardware IP and user-friendly software integration.

This role is hybrid, based out of Austin, TX; Toronto, ON; 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

• Experienced software engineer with a strong foundation in C/C++, system programming, and low-level software design.
• Background in firmware, device drivers, embedded systems, or hardware-software co-design.
• Skilled at navigating and troubleshooting complex, full-stack software environments.
• Known for working effectively with cross-functional teams and external customers to resolve integration challenges.
• Able to balance versatile, hands-on coding with high-level architectural problem-solving.

What We Need

• Develop, optimize, and maintain software components for Tenstorrent’s hardware IP offerings.
• Define and build reference software, SDKs, and toolchains to streamline the customer integration process.
• Diagnose and resolve complex hardware/software interaction issues during customer bring-up and deployment.
• Drive the creation of high-quality documentation, test suites, and integration guides for IP software deliverables.
• Partner cross-functionally with hardware and architecture teams to ensure future IP designs are optimized for software usability.

What You Will Learn

• How to build and deploy robust software stacks for cutting-edge AI and RISC-V silicon IP.
• How to drive successful hardware-software integration across a diverse range of customer environments and architectures.
• Firsthand exposure to the complete silicon IP lifecycle, from initial bring-up to massive-scale customer deployment.

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.

Tenstorrent is seeking a senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems. You will define, model, and qualify interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. 

This role is on-site in Santa Clara, CA, Austin, TX, or Toronto, Canada.

We welcome candidates at various experience levels. 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

• An experienced electrical engineer with a Bachelor’s or Master’s in Electrical Engineering.
• 5+ years working on high-speed communications (100G–1.6T), including signal integrity, channels, and links.
• Comfortable building and owning link and channel budgets and making clear tradeoffs between reach, loss, BER, and margin.
• Hands-on with SI tools and lab equipment such as Keysight ADS, VNAs, TDRs, BERTs, and protocol analyzers.
• Familiar with cable specification and testing, as well as accelerated life testing, mating life, and failure analysis.
• Able to collaborate across hardware, systems, and manufacturing teams; manufacturing/DFM/DTM experience is a plus.

What We Need

• Define and specify high-speed interconnect architectures between systems within large AI clusters.
• Develop requirements, validation plans, and test strategies for passive and active copper cables and optical transceivers at 100G, 400G, 800G, and 1.6T.
• Document topologies, routing assumptions, and cable requirements for internal and customer-facing clusters.
• Perform link and channel budget analysis, including loss, jitter, eye margin, and BER considerations across PVT and aging.
• Lead and execute qualification and reliability testing, including accelerated life testing, mating life, and failure analysis for interconnect components.
• Interface with key industry suppliers, track their roadmaps, and align Tenstorrent’s system designs to future interconnect capabilities.

What You Will Learn

• How to design and validate interconnects for large-scale AI training and inference clusters, spanning multiple generations of Tenstorrent silicon and systems.
• Practical methodologies for closing SI margins at cutting-edge speeds (up to 1.6T) across diverse media (backplane, copper cable, optics).
• How to translate supplier roadmaps and standards into concrete system requirements and deployment constraints for real customer workloads.
• End-to-end exposure to AI system architecture, from rack-level topology choices down to connector, cable, and transceiver details, in collaboration with world-class AI hardware and systems teams.

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.

Tenstorrent is seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.

This role is hybrid, based out of the United States or Canada near one of our main office locations.

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 customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
• Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
• Self-driven professional who independently manages multiple customer relationships from discovery to win.
• Strategic thinker who identifies customer pain points and positions solutions effectively.

What We Need

• 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
• Exceptional presentation and communication skills with ability to engage all organizational levels.
• Proven track record of technical wins and managing multiple simultaneous accounts.

What You Will Learn

• How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
• Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
• Direct influence on product development through customer feedback and market insights.
• The complete IP business cycle from evaluation through design win and production success.

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.

Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. 

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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

• BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.
• Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
• Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
• Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.

What we need

• Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
• Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
• Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
• Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.

What you will learn

• How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.
• New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
• Best practices for deploying, validating, and monitoring ML models in production CAD environments.
• How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).

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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

At Tenstorrent, we build open, state of art compute for real workloads and real developers.

You will own CPU core‑level verification, shaping how our out‑of‑order RISC‑V CPUs behave in silicon.

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 

• You bring 8+ years in CPU verification or closely related digital design.
• You know high‑performance out‑of‑order CPU microarchitecture in depth.
• You work comfortably with RTL, waveforms, logs, and complex debug scenarios.
• You communicate clearly across design, DV, emulation, and post‑silicon teams.

What We Need 

• Plan and drive functional verification for CPU core features and microarchitectural scenarios.
• Develop UVM, assembly, and C/C++ stimulus for ISA and microarchitectural coverage.
• Develop/debug C++ functional models of RISC-V extensions and un-core components such as APIC and IOMMU.
• Debug simulation and emulation regressions using waveforms, logs, and RTL understanding.
• Build and refine coverage models to track and close architectural and microarchitectural coverage.
• Improve core, cluster, and chip‑level testbenches and debug infrastructure.
• Support design bring‑up across simulation, emulation, and post‑silicon environments.
• Collaborate with design, test, and validation to deliver robust CPU cores and clusters.

What You Will Learn 

• How Tenstorrent designs and validates high‑performance RISC‑V CPU cores and clusters.
• Techniques for spanning pre‑silicon, emulation, and post‑silicon verification with shared stimulus.
• Ways to scale coverage, debug, and infrastructure across multiple CPU programs.
• How open hardware and software fit into Tenstorrent’s broader compute roadmap.

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.

Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; or Fort Collins, CO.

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 seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure.
• A hands-on problem solver who excels at debugging and driving signoff through complex verification flows.
• A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces.
• A mentor and technical leader passionate about building efficient, manufacturable silicon.
  
  

What We Need

• BS or MS in Engineering (Electrical, Electronics, or related field).
• 7–14 years of hands-on experience in CPU/IP/SoC physical verification.
• Strong command of industry-standard tools and flows (Calibre, ICV, Pegasus, FC, Innovus, etc.).
• Proven expertise in DRC, LVS, ERC, PERC, Antenna, and DFM verification.
• Solid understanding of advanced node challenges (7nm, 5nm, 3nm) and FinFET design considerations.
• Scripting proficiency (Python, TCL) for automation and flow optimization.
• Familiarity with ESD planning, padring integration, bump/RDL strategies, and reliability analysis (IR drop, EM).
  
  

What You Will Learn

• Advanced physical verification methodologies and flow optimization for next-generation SoCs.
• Integration and verification strategies for full-chip signoff across advanced process technologies.
• Cross-functional collaboration across design, CAD, and foundry teams to ensure flawless tapeouts.
• Leadership and mentoring opportunities in building scalable PV methodologies and automation.
  
  

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.

• Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
• Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
• Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
• Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.

• Experience building compilers or similar systems, with strong fluency in C++ and Python.
• Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
• You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
• A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.

• How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
• New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
• Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
• How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.

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.

Tenstorrent is seeking talented Physical Design Engineers to implement high-performance partitions for an industry-leading AI SOC. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team.

This role is hybrid, based out of Austin,TX or Santa Clara, CA or Fort Collins, CO.

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

• Experienced with synthesis and place-and-route flows, especially using Synopsys Design Compiler / Fusion Compiler and IC Compiler II.
• Comfortable in a small, cross-functional physical design team, owning a block or subsystem and partnering on tapeout milestones with clear communication and accountability.
• Ideally bring extra depth in areas such as UPF/multi-voltage power domains, SoC interface IP integration (e.g. I3C, UART), signoff breadth (DRC/LVS, EM/IR, LEC/Formality), multi-clock/CDC-aware implementation, PLL/DLL integration, and DFT-aware physical implementation (OCC/MBIST).

What we need

• Execute synthesis, PNR, and STA for assigned partitions of a complex AI SoC.
• Help close EM/IR, ensure UPF power intent is consistent with implementation, and drive LEC and physical verification signoff for your partitions in coordination with methodology owners.
• Work closely with architects, RTL designers, and DFT engineers to resolve implementation and signoff issues across your blocks.

What you will learn

• How to implement and close AI SoC partitions end-to-end, including power intent, timing, and physical signoff in a modern Synopsys-based flow.
• Deeper expertise across signoff domains: EM/IR, DRC/LVS, logical equivalence (LEC/Formality), and CDC-aware implementation on meaningful production blocks.
• Practical integration of analog/mixed-signal macros (PLL/DLL), DFT features (OCC/MBIST), and SoC interface IP within advanced physical design flows and collaborative tapeout environments.

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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

• Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
• Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
• Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
• Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

• Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.
• Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.
• Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
• Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.

• How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
• Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
• Integration of custom compilers with leading ML frameworks and runtime environments.
• The end-to-end toolchain flow that enables Tenstorrent’s scalable, high-performance AI compute systems.

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.

We’re looking for a Physical Design Engineer – EMIR to join our silicon team. In this role, you’ll lead EM and IR-drop simulations to ensure robust power delivery, signal integrity, and long-term reliability for high-performance ICs. You’ll work with RTL, physical design, and analysis teams to implement power grid strategies that optimize performance, power, and area (PPA), particularly at advanced nodes like 7nm and below. You’ll also support EMIR sign-off and waiver methodologies across the chip hierarchy.

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

• A physical design specialist with deep experience in EMIR analysis and signoff.
• Comfortable navigating advanced technology nodes and power integrity challenges.
• Proactive and detail-oriented, with a passion for pushing performance and reliability boundaries.
• Collaborative and effective across teams working on RTL, physical design, packaging, and reliability.

What We Need

• 7+ years of experience in physical design or signoff, with a focus on EMIR.
• Hands-on with RedHawk, Voltus, or equivalent industry-standard EMIR tools.
  Strong understanding of IR-drop mitigation, EM compliance, and power grid design.
• Proficiency with layout extraction flows, RC modeling, and metal density checks.
• Experience working in advanced nodes (7nm, 5nm, 3nm), and with scripting languages like TCL, Python, Perl, or Shell.
• Knowledge of floorplanning, bump/RDL design, and sign-off flows (DRC/LVS, timing closure).

What You Will Learn

• How to architect and analyze robust power delivery for Tenstorrent’s RISC-V CPUs and AI chips.
• How to integrate EMIR signoff into fast-paced, high-performance chip design cycles.
• Best practices for hierarchical analysis and EMIR methodology across pre- and post-layout flows.
• Cross-functional collaboration for optimizing PPA while meeting stringent reliability goals.

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.

At Tenstorrent, we are building open, state of art compute for AI and RISC‑V CPUs. You will lead the technical efforts and strategy around our existing emulation infrastructure for high‑performance CPUs that power these products. Your work will directly enable silicon bring‑up, validation, and customer‑ready systems.

This role is hybrid, based out of Austin, TX.

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

• You have strong background in CPU verification, emulation, and debug.
• You are fluent in Verilog and SystemVerilog for complex SoC designs.
• You are a technical leader who drives complex debug efforts, solves ambiguous technical problems, and mentors younger engineers.
• Experience with Zebu emulation platforms is a significant plus.
• You collaborate closely with design, verification, and vendors to move fast and unblock teams.

What We Need

• Lead the technical strategy and execution to scale and optimize existing emulation infrastructure on commercial and open‑source platforms.
• Enable the emulation infrastructure and workflow, including producing reliable emulation builds.
• Drive and lead complex cross-functional debug and root cause analysis efforts.
• Optimize emulation performance and regression flows with Design Verification teams and tool vendors.

What You Will Learn

• How to bring state of art AI and CPU architectures to life on emulation.
• How to design large‑scale emulation regressions that mirror real customer workloads.
• How to tune emulation performance across different vendors and hardware platforms.
• How open hardware and software come together across Tenstorrent’s full compute stack.

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.