Entry Level Electrical Engineer

We are seeking a motivated and detail-oriented Hardware Systems Engineer I to join our innovative team at Crusoe. In this role, you will contribute to the design, implementation, and optimization of advanced hardware systems. You will work closely with cross-functional teams to ensure the successful integration of hardware solutions into our growing infrastructure.

Who We AreSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a transformative platform that empowers businesses reliant on physical operations to tap into Internet of Things (IoT) data. Our aim is to provide actionable insights that enhance safety, efficiency, and sustainability across vital industries such as agriculture, construction, transportation, and manufacturing. By digitally transforming these sectors, which represent over 40% of global GDP, we are contributing to a more efficient and sustainable economy.Joining Samsara means being part of a team that is defining the future of physical operations. You will engage in cutting-edge solutions, including Video-Based Safety, Vehicle Telematics, and Equipment Monitoring, within a supportive environment that fosters innovation and long-term impact.About the Role:We are seeking a Senior Hardware Systems Engineer to enhance our rapidly expanding product line. Your primary responsibility will involve leading the electrical engineering components of product architecture and design, grounded in comprehensive feasibility, design, and cost analyses. This encompasses critical aspects such as component selection, thermal management, and antenna design. You will leverage extensive telemetry and direct customer insights to inform and refine our product designs. Collaborating closely with Product Management, Firmware, and Hardware leadership, you will influence key engineering decisions while mentoring fellow engineers. The role will also require interaction with our US and Taiwan EE teams, as well as our Supply Chain and laboratory resources, to achieve our project goals effectively.This role is hybrid, requiring you to be in our San Francisco, CA office three days a week, with the flexibility to work remotely for two days. Travel may be necessary up to 25% of the time, and proximity to an international airport is essential. We offer relocation assistance for this position and welcome candidates from across the U.S. who are willing to relocate to the Bay Area.

Physical Intelligence seeks a Hardware Systems Engineering Intern to support its core hardware team in San Francisco. This group maintains the infrastructure behind a robotic fleet that performs real-world tasks, from washing dishes for hours to brewing coffee in both warehouse and unpredictable outdoor settings. Role overview The hardware team operates at the intersection of mechanical, electrical, and systems engineering. Team members work closely with software, controls, and manufacturing engineers to transition robots from prototypes into production. Daily work includes developing and running test protocols, troubleshooting failures in the field, and building systems that ensure reliability in a range of environments. What you will do Cross-disciplinary problem solving: Address challenges that combine mechanical, electrical, and control systems. Analyze ambiguous issues, identify root causes, and design practical fixes. Reliability analysis: Collect data and conduct reliability studies to spot failure trends, monitor system uptime, and contribute to investigations using methods such as RCCA and FMEA. Failure tracking: Build failure pareto charts to highlight key failure causes and timing. Work with engineers across disciplines to monitor system performance throughout different builds and deployments. Tooling and process design: Design and construct tools, jigs, and processes that improve speed, safety, and reliability for the robot fleet. Test protocols: Execute and refine testing procedures for new hardware, field repairs, and post-service checks. Build and production support: Assist with hardware builds, inventory tracking, materials handling, and vendor coordination. Configuration and serialization: Help implement configuration, serialization, and test tracking systems to streamline service and replacement processes. Requirements Pursuing or completed a Bachelor's degree in Mechanical or Mechatronics Engineering.

About Our TeamAt OpenAI, our Hardware team specializes in developing cutting-edge silicon and system-level solutions tailored to meet the rigorous demands of advanced AI applications. We are at the forefront of creating the next generation of AI-native silicon and collaborate closely with our software and research partners to ensure our hardware is seamlessly integrated with AI models. Our mission extends beyond just delivering production-grade silicon for OpenAI’s supercomputing infrastructure; we are also dedicated to innovating custom design tools and methodologies that enhance hardware optimized for AI.About the PositionWe are seeking a highly skilled Mechanical Engineer with a minimum of 7 years of experience in the design of IT hardware, encompassing everything from chip/package to system levels. In this role, you will collaborate with a team of experts across thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that guarantee the reliability, efficiency, and longevity of critical hardware. A strong analytical mindset, hands-on testing experience, and the ability to thrive in a fast-paced, multidisciplinary environment are essential for success in this role.This position is based in San Francisco, CA, and follows a hybrid work model, requiring 3 days in the office per week. We also offer relocation assistance for new hires.Key ResponsibilitiesLead mechanical designs for AI supercomputer products within data center applications.Collaborate with cross-functional teams to design and enhance thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures.Integrate thermal management strategies into hardware designs from concept through to mass production.Design and validate mechanical systems such as chassis, enclosures, and cooling systems while ensuring compliance with performance and reliability standards.Conduct 3D modeling, finite element analysis (FEA), tolerance analysis, and prototyping to ensure manufacturability and adherence to stringent quality requirements.Perform mechanical testing, including vibration, shock, and thermal cycling, to ensure long-term reliability under extreme operating conditions.Identify and assess new technologies and methodologies to enhance mechanical and thermal performance in product designs, contributing expertise in mechanical design to new product development initiatives.

Lumafield develops X-Ray CT scanners designed to make advanced imaging more accessible and affordable. The company’s cloud software provides engineers with detailed visualization tools, helping them analyze complex products and make informed decisions. Role overview This full-time, on-site Hardware Systems Engineer position is based in San Francisco. The role centers on leading hardware development for industrial CT scanners. Collaboration with researchers and designers is a key part of the job, with a focus on improving product development for a range of industries. What you will do Lead hardware systems development for industrial CT scanners Design and manage electrical architecture Develop firmware and oversee system integration Work hands-on to transform concepts into working products Collaborate with cross-functional teams to address customer needs Team and collaboration The engineering team includes experienced researchers and designers who value curiosity and rigor. The group is impact-driven and backed by leading venture capital firms. Location This role requires working on-site at Lumafield’s San Francisco office.

About the TeamThe Scaling team at OpenAI forms the architectural and engineering foundation of our infrastructure. We innovate and implement advanced systems that facilitate the deployment and operation of next-generation AI models. Our responsibilities encompass system software, networking, platform architecture, fleet-level monitoring, and performance enhancement.About the RoleWe are seeking a skilled software engineer proficient in transforming early-stage, sometimes chaotic, pre-production hardware into stable, operational systems. You will be pivotal in bootstrapping, imaging, integrating with the Kubernetes control plane, and ensuring observability. Your role will bridge early hardware bring-up, provisioning automation, fleet and cluster management, and integration with lab or cloud services—effectively converting new SKUs into usable capacity for our internal stakeholders.Key ResponsibilitiesManage the comprehensive bring-up and bootstrapping process for new systems and compute nodes, transitioning from bare metal or early access in lab or production/cloud settings to schedulable fleet capacity, including image building, user-data/configuration, cluster joining, and readiness gates.Develop and uphold top-tier golden image and provisioning workflows across lab and production environments, collaborating with partner-provided base images while ensuring OS/version compatibility.Collaborate with partner teams to integrate nodes into our fleet infrastructure and Infrastructure as Code (IaC) pipelines (Terraform, Chef, etc.), guaranteeing that cloud resources align seamlessly with our internal lifecycle expectations.Work closely with scheduling and platform owners to ensure new hardware is accessible and properly scheduled, addressing pool definitions, network connectivity, routing, admission controls, and platform-specific requirements.Ensure registration and inventory accuracy, providing hands-on support to track nodes and their metadata from end to end.Partner with teams to establish baseline health and telemetry monitoring for bring-up, including critical health signals, pass/fail assessments, and automated reporting for initial ramp decisions.Troubleshoot issues across various layers, including PXE/boot-loader, UEFI/BIOS, BMC, OS bring-up, NIC/network accessibility, kubelet/control-plane connectivity, storage limitations, and early lab/rack scenarios.

Impulse, based in San Francisco, brings together engineers, designers, and innovators to build high-performance products for whole-home electrification. The team focuses on making sustainable home choices both practical and attractive, aiming for solutions that last without compromise. Role overview The Hardware System Technical Program Manager guides complex hardware systems from initial concept through production and launch. This role sits at the center of the hardware product lifecycle, ensuring seamless integration of systems into Impulse’s products. What you will do Lead cross-functional teams, including Mechanical, Electrical, and Firmware Engineers, through every stage of hardware development Coordinate efforts with Product Management, Finance, Tech Operations, Marketing, and company leadership Drive hardware program execution, keeping projects aligned with business objectives and timelines Manage collaboration with joint development partners and internal stakeholders Location This position is based in San Francisco.

At Crusoe, our mission is to propel the availability of energy and intelligence. We are designing the engine that fuels a future where individuals can ambitiously innovate with AI, all while upholding standards of scale, speed, and sustainability.Join us in the AI revolution powered by sustainable technology at Crusoe. Here, you will spearhead significant innovations, make a lasting impact, and collaborate with a team that is leading the charge in responsible, transformative cloud infrastructure.About This Role:We are on the lookout for a Hardware Production / Sustaining Engineer to enhance Crusoe’s Hardware Systems Engineering team and address critical skill gaps in debugging, validation, and production support of high-performance computing systems. In this role, you will oversee the entire hardware lifecycle—from prototype initiation to mass production—while driving automation, resolving intricate issues, and ensuring reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure.You will collaborate closely with cross-functional teams to support, debug, and optimize hardware platforms at scale, with a specific focus on PCIe, InfiniBand, and NVMe/storage, which are recognized as vital areas for enhanced expertise. Your contributions will significantly influence Crusoe’s capability to deploy and manage sustainable, AI-first computing systems that deliver world-class performance and reliability.What You’ll Be Working On:Lead the entire hardware development and sustaining lifecycle, encompassing feasibility, bring-up, validation, deployment, and ongoing production support.Create and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability enhancements.Guide deep troubleshooting and debugging across:PCIe (link training, topology, performance issues)InfiniBand (fabric debugging, throughput, connectivity issues)NVMe/storage (performance bottlenecks, firmware interactions, failure analysis)Perform thorough system validation and characterization for GPU, CPU, and high-performance computing platforms.Assist in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Work in tandem with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level challenges.

Role OverviewAt Focal, we specialize in creating innovative robotic radiant heating systems designed specifically for outdoor dining environments. Our cutting-edge products integrate precision engineering, advanced electronics, and smart sensing technology to deliver efficient warmth while significantly reducing energy consumption compared to conventional heating solutions.We are seeking a Field Deployment Technician who will be responsible for the installation and on-site maintenance of our robotic heating systems.This hands-on position emphasizes installation excellence, system configuration, and dependable field service. You will collaborate closely with our engineering and operations teams to guarantee that all deployments are executed with precision, consistency, and timeliness.As the final link between our product and its real-world application, your attention to installation quality will be paramount.

We are seeking a motivated and detail-oriented Business Systems Analyst with a focus on SharePoint to join our dynamic team at 360itprofessionals1. In this role, you will play a critical part in analyzing business needs, improving processes, and providing innovative solutions that enhance the efficiency of our systems. As a candidate, you will have the opportunity to work in a supportive environment where your contributions are valued, and your professional growth is encouraged. If you are passionate about technology and eager to make a difference, we would love to hear from you!

About Our TeamAt OpenAI, our Hardware organization is at the forefront of developing cutting-edge silicon and system-level solutions tailored for the specific demands of advanced AI workloads. Our team is dedicated to creating the next generation of AI-native silicon, collaborating closely with software and research partners to co-design hardware that is seamlessly integrated with AI models. We not only deliver production-grade silicon for OpenAI’s supercomputing infrastructure but also innovate custom design tools and methodologies that drive acceleration and optimization specific to AI.About This RoleAs a member of our hardware optimization and co-design team, you will play a crucial role in co-designing future hardware from various vendors, focusing on programmability and high performance. You will partner with our kernel, compiler, and machine learning engineers to comprehend their distinct requirements concerning ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. Your advocacy for these constraints will help shape and influence future hardware architectures aimed at efficient training and inference for our models. If you are passionate about efficiently distributing large language models across devices, optimizing system-wide networking bottlenecks, and customizing the compute pipeline and memory hierarchy of hardware platforms while simulating workloads at various abstraction levels, then this opportunity is perfect for you!This position is based in San Francisco, CA, utilizing a hybrid work model of three days in the office each week, with relocation assistance available for new hires.Key Responsibilities:Collaborate on the co-design of future hardware focusing on programmability and performance with hardware vendors.Support hardware vendors in developing optimal kernels and integrating support within our compiler.Generate performance estimates for critical kernels across diverse hardware configurations, influencing decisions regarding compute core and memory hierarchy features.Create system performance models at various abstraction levels and conduct analyses to guide decisions on scaling and front-end networking.Engage with machine learning engineers, kernel engineers, and compiler developers to align on high-performance accelerator needs.Facilitate communication and coordination with internal and external partners.Shape the roadmap for hardware partners to optimize their products for our AI capabilities.

About Our TeamAt OpenAI, our Hardware team is at the forefront of developing cutting-edge silicon and comprehensive system solutions tailored to the specific needs of advanced AI workloads. We pride ourselves on crafting the next generation of AI-native silicon, collaborating closely with software engineers and research teams to ensure our hardware is seamlessly integrated with AI models. Our mission extends beyond creating production-grade silicon for OpenAI’s supercomputing infrastructure; we also innovate custom design tools and methodologies that spark innovation and enable hardware specifically optimized for AI.About the RoleAs a Software Engineer on the Scaling team, you will play a pivotal role in designing and optimizing the foundational stack that manages computation and data flow across OpenAI’s supercomputing clusters. Your responsibilities will include crafting high-performance runtimes, developing custom kernels, enhancing compiler infrastructure, and building scalable simulation systems to validate and optimize distributed training workloads.This position requires you to work at the intersection of systems programming, machine learning infrastructure, and high-performance computing, where you will create intuitive developer APIs alongside highly efficient runtime systems. You will balance usability and introspection with the imperative for stability and performance across our dynamic hardware landscape.This role is based in San Francisco, CA, featuring a hybrid work model (three days in-office per week). Relocation assistance is provided.Key Responsibilities:Design and implement APIs and runtime components to efficiently manage computation and data movement for diverse ML workloads.Enhance compiler infrastructure by developing optimizations and compiler passes to accommodate evolving hardware advancements.Engineer and refine compute and data kernels, ensuring precision, high performance, and compatibility across simulation and production settings.Analyze and optimize system bottlenecks, focusing on I/O, memory hierarchy, and interconnects at both local and distributed scales.Create simulation infrastructure to validate runtime behaviors, test modifications to the training stack, and support the early development of hardware and systems.Quickly deploy updates to runtime and compiler across new supercomputing builds in close collaboration with hardware and research teams.Work across a varied tech stack, primarily utilizing Rust and Python, with a chance to influence architectural decisions within the training framework.

About GridwareGridware is an innovative technology firm headquartered in San Francisco, committed to safeguarding and enhancing the reliability of the electrical grid. We have pioneered a revolutionary approach to grid management known as Active Grid Response (AGR), which meticulously monitors the electrical, physical, and environmental factors influencing grid safety and reliability. Our state-of-the-art AGR platform leverages high-precision sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault resolution. This holistic strategy is designed to bolster safety, minimize outages, and ensure optimal grid performance. We are proud to be supported by prominent climate-tech and Silicon Valley investors. To learn more, visit www.Gridware.io.About the RoleWe are seeking a skilled Senior Hardware Reliability Engineer to lead reliability testing, analysis, and lifetime modeling of various outdoor electronic assemblies. This pivotal role will concentrate on the electronic components of our products, collaborating closely with our mechanical-focused Reliability Engineer and engaging with the broader hardware and cross-functional teams.

Company OverviewEcho Neurotechnologies is a pioneering startup specializing in Brain-Computer Interface (BCI) technology. We are committed to pushing the boundaries of innovation through state-of-the-art hardware engineering and artificial intelligence solutions. Our goal is to create transformative technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our dedicated team of passionate and skilled professionals. In our dynamic early-stage environment, you will have the chance to influence key decisions that will have lasting impacts. We prioritize continuous learning and development, promoting cross-functional collaboration where your input is essential to our collective success.Role OverviewWe are on the lookout for a seasoned Senior Hardware Test Engineer to validate our custom Echo hardware systems. In this role, you will lead the testing processes for our specialized hardware devices and subsystems while developing and implementing custom test systems.Primary ResponsibilitiesConduct in-house design verification testsCoordinate testing with external laboratoriesCollaborate with the engineering team to create tailored testing solutionsWork alongside design engineers to characterize unique hardwarePrepare tests for vendor transfer

About Multiply LabsMultiply Labs is an innovative startup located in San Francisco, California, backed by renowned investors in technology and life sciences such as Casdin Capital, Lux Capital, and Y Combinator. Our goal is to develop the world's leading robotic systems and utilize them to make groundbreaking life-saving therapies accessible to everyone.We are transforming the manufacturing process of cell therapies through the creation of advanced robotic systems that automate and scale the production of these crucial treatments. Our cutting-edge robots enable biopharma companies to produce cell therapies efficiently without overhauling their existing processes, thus minimizing regulatory hurdles and risks. Unlike traditional methods that are labor-intensive and costly (often exceeding $1M per patient), our robotic solutions aim to make these vital treatments more affordable and reachable for those who need them.To discover more and view our robots in action, please visit www.multiplylabs.com and follow us on LinkedIn.Position OverviewWe are looking for a dedicated Hardware Reliability Engineer to become an essential part of Multiply Labs’ Reliability Engineering team. As a founding member, you will collaborate closely with the Hardware Product and Systems Integration teams to enhance our designs throughout the entire development lifecycle, from initial prototypes to fully deployed GMP production systems. Your contributions will directly support the delivery of life-saving therapies by ensuring our robots operate seamlessly within the high-stakes biotech environment.

Tacit is an early-stage deep-tech startup in San Francisco, backed by General Catalyst, Khosla Ventures, and Greylock Partners. The team draws on backgrounds from Stanford, BrainGate, Oculus, and Tesla. The company is developing new hardware to advance human-computer interaction, with project details still confidential. The focus is on solving complex engineering challenges that could change how people use technology. Role overview The Head of Hardware will lead Tacit's transition from research prototypes to a consumer-ready product. This senior leader shapes the technical architecture and builds the team responsible for delivering reliable hardware at scale. The position works directly with company leadership, driving hardware strategy, resource planning, and execution. The main objective is to establish a high-performing hardware group that consistently ships quality consumer products. What you will do Lead the move from research prototypes to a production-ready consumer hardware platform. Own the hardware roadmap and system architecture, overseeing progress from early builds to mass production. Design the hardware organization, define team roles, and set hiring priorities in collaboration with leadership. Establish and uphold standards for product readiness, with attention to quality, reliability, manufacturability, and testing. Shape and execute the hardware hiring strategy, including role definitions, sequencing, and technical requirements. Build and lead a multidisciplinary hardware team spanning electrical, mechanical, RF, firmware, testing, and manufacturing. Encourage open technical discussion, clear ownership, and a product-driven approach within the team. Make key system-level trade-offs across performance, power, cost, reliability, and timelines, balancing immediate needs and long-term growth. Enhance design quality through DFM/DFA, manufacturing test planning, and strong quality processes. Collaborate closely with product, industrial design, and software/ML teams to translate product requirements into hardware specifications.

Why Join Flux?At Flux, we are redefining hardware development by introducing the pioneering AI Hardware Engineer. Our mission is to democratize cutting-edge hardware creation and transform the global landscape of electronics design and manufacturing.Your RoleWe are seeking a seasoned leader in electrical engineering to spearhead our hardware design practices and principles. You will play a crucial role in enhancing our ECAD tool's capabilities and ensuring the integrity of our AI Hardware Engineer's knowledge and design strategies. Collaborating closely with product leadership, you will help shape and prioritize the advancement of AI capabilities, evaluation frameworks, and scalable strategies that empower our community to execute successful PCB projects. This position offers the opportunity to expand our Hardware Design function and team significantly.This is a high-impact, multidisciplinary role ideal for someone with a proven track record of developing complex electronics for mass production, such as smartphones, wearables, high-performance computing devices, networking equipment, and robotics, who enjoys translating real-world engineering challenges into innovative tools and AI functionalities.Key ResponsibilitiesLead ECAD Feature Development – Define product requirements for essential ECAD functionalities including placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Collaborate on specifications, validate through internal testing, beta programs, and comprehensive user feedback.Collaborate with AI/ML Teams – Educate the world’s first AI hardware engineer on effective product design practices. Establish best practices, guidelines, and evaluation frameworks; curate datasets; assess AI-generated designs; and cultivate the AI expertise to enable successful hardware production from the first run, avoiding common pitfalls.Enhance the Hardware Design Team – Start as an active manager overseeing two team members, progressively refining the team's responsibilities and scaling to create reference designs, demos, product specifications, training materials, and feedback mechanisms.Prototype Real Hardware – Oversee rapid prototyping (from schematic to realization) to showcase product/AI capabilities. Instrument designs for signal integrity, power integrity, and thermal validation; utilize data to close the feedback loop.Enhance User Experience – Take ownership of and improve current user experience metrics, feedback loops, and user engagement processes to inform our iterative product development.

At Crusoe, our mission is to drive the evolution of energy and intelligence. We are developing the technology that fuels a future where individuals can ambitiously harness AI capabilities without compromising on scale, speed, or sustainability.Join us in revolutionizing AI with sustainable solutions at Crusoe. In this role, you will be at the forefront of innovation, making a significant impact while collaborating with a team that is shaping the future of responsible and transformative cloud infrastructure.About This Role:We are looking for a dedicated Hardware Production/Sustaining Engineer to enhance Crusoe's Hardware Systems Engineering team. This position is critical for bridging essential skill gaps in debugging, validation, and production support for high-performance computing systems. You will manage the entire hardware lifecycle—from prototype initiation to large-scale production—focusing on automation, deep troubleshooting, and reliability within Crusoe Cloud’s GPU- and CPU-oriented infrastructure.Your collaboration with cross-functional teams will be vital in supporting, debugging, and enhancing hardware platforms on a large scale, specifically targeting PCIe, InfiniBand, and NVMe/storage, which have been highlighted as key areas for expanded expertise. Your contributions will directly influence Crusoe’s capability to deploy and maintain sustainable, AI-driven computing systems that deliver exceptional performance and reliability.Your Responsibilities Will Include:Leading the complete hardware development and sustaining lifecycle, encompassing feasibility studies, bring-up, validation, deployment, and ongoing production support.Creating and sustaining automation frameworks and scripts for hardware testing, diagnostics, and continual reliability enhancements.Executing in-depth troubleshooting and debugging across:PCIe (including link training, topology, and performance issues)InfiniBand (focusing on fabric debugging, throughput, and connectivity challenges)NVMe/storage (addressing performance bottlenecks, firmware interactions, and failure analyses)Performing extensive system validation and characterization for GPU, CPU, and high-performance computing platforms.Assisting in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Collaborating with teams across mechanical, thermal, firmware, software, and manufacturing domains to troubleshoot and enhance system performance.

About the TeamAt OpenAI, our Hardware organization is at the forefront of developing silicon and system-level solutions tailored specifically for the demanding requirements of advanced AI workloads. Our team is dedicated to pioneering the next generation of AI-native silicon, collaborating intimately with software and research partners to design hardware that is tightly integrated with AI models. Beyond delivering high-quality silicon for OpenAI's supercomputing infrastructure, we innovate by creating custom design tools and methodologies that propel hardware solutions optimized for AI.About the RoleIn this pivotal role, you will enhance the tooling ecosystem that hardware engineers depend on daily, encompassing hardware compilers, IR transformations, simulation, debugging, and automation infrastructure. Your contributions will bridge software engineering, compiler concepts, and practical hardware workflows, significantly influencing the speed and efficiency of designing next-generation AI systems. Collaborating closely with architects, RTL designers, and verification engineers, you will translate real engineering challenges into sustainable, scalable tooling solutions.Key ResponsibilitiesDevelop and enhance software tools to increase the efficiency of hardware teams: compilation, IR transformations, RTL generation, simulation, debugging, and automation.Extend and integrate hardware compiler stacks (including frontends, IR passes, lowering, scheduling, and code generation to Verilog/SystemVerilog) and connect these with actual design workflows.Enhance developer experience and system reliability: focus on reproducible builds, improved error messaging, quicker iteration cycles, and robust CI and regression infrastructures.Collaborate with designers and verification engineers to transform identified pain points into effective solutions.Engage with RTL as required: analyze and interpret Verilog/SystemVerilog to troubleshoot issues, validate tool outputs, and enhance debuggability.Be prepared to delve deeply into the stack when necessary, including gate-level perspectives, synthesis outcomes, and implementation artifacts.Support PPA optimization efforts by creating analysis and automation around area, timing, and power trade-offs, while improving tools that influence these aspects.Ideal Candidate ProfileProven experience in developing and maintaining software (through projects, internships, research, open-source contributions, or similar).