Mechanical Research Engineer

Join our innovative team at Gridware as an Electrical Research Engineer, where you will play a crucial role in advancing our cutting-edge technology. In this position, you will be responsible for conducting research, developing new electrical systems, and optimizing current technologies to enhance our product offerings.

Join Gridware as a Senior Electrical Research Engineer, where you'll play a pivotal role in advancing innovative electrical solutions. We are looking for an expert who is passionate about research and development in electrical engineering. In this role, you'll collaborate with a dynamic team to design, analyze, and optimize electrical systems that will drive our technology forward.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Why Join GigaThe Pace: We operate at a speed that most companies only talk about. If you've been feeling stagnant in your previous role, you'll find excitement here.The Impact: Every individual at Giga contributes to meaningful work. With no bureaucratic delays, your contributions will be visible in our outputs.The Team: Join a team of top-tier professionals shaping the future of AI infrastructure. We attract high performers from the most innovative companies, drawn by the significance of our work.The Moment: AI requires power, and that's where we come in. Giga is the backbone of the AI revolution. This industry is on the verge of massive growth, and you'll be at the forefront of it.What You'll DoAt Giga, our mission is to design and manufacture data centers that support the rapid growth of AI. We are moving beyond conventional construction methods to a product-centric approach, creating and mass-producing high-performance infrastructure that meets the surging demand for computational power. As the Lead Electrical Engineer, you will be responsible for shaping the power architecture and electrical framework of these cutting-edge facilities.This is a unique chance to establish the electrical foundation of a fast-growing infrastructure company. Rather than managing just one 50 MW project, you will develop the Plan of Record (POR) for Giga Data Centers, a standardized, manufactured product that will be implemented globally.You will set the benchmark for high-density AI power delivery, designing medium and low voltage distribution systems, backup generation, and UPS solutions that can accommodate the most demanding computational tasks worldwide. The AI boom is the defining industrial challenge of our time, and you will construct the engine that drives it. Your designs will be rapidly manufactured and deployed, making a tangible impact across numerous facilities.Where You'll WorkIf you are located outside our Houston, Long Beach, Reno, or San Francisco offices, this position will be performed remotely from your home office. However, you must be willing to travel as necessary to our job sites and one of our hub locations.ResponsibilitiesDevelop and manage the electrical Plan of Record for Giga Data Centers, establishing the

OpenAI's research infrastructure group creates and maintains the backbone systems for advanced machine learning model training. This team often goes beyond conventional training methods, developing new infrastructure to support novel research at scale. Their work closely connects systems engineering with research progress, making it possible to run experiments that would otherwise be too slow or complex. Role overview The Research Infrastructure Engineer for Training Systems designs and improves the platforms that power large-scale ML training. This role bridges research concepts and the practical systems that make large model training possible. The work has a direct impact on model release timelines and requires building systems that perform reliably in demanding, real-world scenarios. What you will do Build and maintain infrastructure for large-scale model training and experimentation Design APIs and interfaces to simplify complex training workflows and prevent misuse Enhance reliability, debuggability, and performance across training and data pipelines Troubleshoot issues involving Python, PyTorch, distributed systems, GPUs, networking, and storage Create tests, benchmarks, and diagnostic tools to catch regressions early Requirements Interest in building systems that support new training methods, not just optimizing existing ones Strong instincts in systems engineering, especially regarding performance, reliability, and clean abstractions Experience designing APIs and interfaces for researchers and engineers Ability to work across ML research code and production infrastructure Enjoys evidence-based debugging using profiles, traces, logs, tests, and reproducible cases

Join our dynamic team at Cognition as a Research Engineer specializing in Infrastructure. In this role, you will be at the forefront of cutting-edge research, contributing to innovative solutions that shape the future of our infrastructure projects.Your responsibilities will include conducting thorough research, analyzing data, and collaborating with cross-functional teams to implement effective strategies. We are looking for an individual who is passionate about technology and infrastructure, eager to solve complex problems, and ready to drive impactful results.

About Our TeamJoin the Foundations Research team, where we tackle ambitious and innovative projects that could redefine the future of AI. Our mission is to enhance the science behind our training and scaling initiatives, focusing on pioneering frontier models. We are dedicated to advancing data utilization, scaling methodologies, optimization strategies, model architectures, and efficiency enhancements to accelerate our scientific breakthroughs.About the PositionWe are on the lookout for a dynamic technical research lead to spearhead our embeddings-focused retrieval initiatives. You will oversee a talented team of research scientists and engineers committed to developing foundational technologies that enable models to access and utilize the right information precisely when needed. This includes crafting innovative embedding training objectives, architecting scalable vector storage, and implementing adaptive indexing techniques.This pivotal role will contribute to various OpenAI products and internal research initiatives, offering opportunities for scientific publication and significant technical influence.This position is located in San Francisco, CA, where we embrace a hybrid work model, requiring three days in the office weekly, and we provide relocation assistance for new hires.Your ResponsibilitiesLead cutting-edge research on embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.Supervise a team of researchers and engineers in building an end-to-end infrastructure for training, evaluating, and integrating embeddings into advanced models.Drive advancements in dense, sparse, and hybrid representation techniques, metric learning, and retrieval systems.Work collaboratively with Pretraining, Inference, and other Research teams to seamlessly integrate retrieval throughout the model lifecycle.Contribute to OpenAI's ambitious vision of developing AI systems with robust memory and knowledge access capabilities rooted in learned representations.You Will Excel in This Role If You PossessA proven track record of leading high-performance teams of researchers or engineers within ML infrastructure or foundational research.In-depth technical knowledge in representation learning, embedding models, or vector retrieval systems.Familiarity with transformer-based large language models and their interaction with embedding spaces and objectives.Research experience in areas such as contrastive learning and retrieval-augmented generation.

Join Syska Hennessy Group and bring your engineering expertise to life through iconic projects across the globe. As a premier consulting, engineering, and commissioning firm, we excel in MEP, information and communication technology, architectural lighting, vertical transportation, and commissioning services.We are currently looking for an Senior Supervising Electrical Engineer to enhance our team in San Francisco, CA or Sacramento, CA. In this pivotal role, you will represent the firm in all client interactions, coordinating with contractors, architects, and project teams. Your leadership will guide the supervision, coordination, and assignment of various engineering projects.Our vibrant work environment fosters career advancement, supported by a diverse workforce, competitive compensation, and a flexible work schedule, including Monday through Thursday in the office for 9 hours and Fridays for 4 hours remotely. Participate in engaging social events and enjoy a fulfilling, challenging career with us.

Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.

About Atomic SemiAtomic Semi is at the forefront of semiconductor innovation, creating a compact and agile semiconductor fabrication facility.Leveraging current technologies and simplifying processes, we are dedicated to building our own tools to facilitate rapid iterations and enhancements.Our team comprises exceptional hands-on engineers with diverse expertise in mechanical, electrical, hardware, computer, and process engineering. Together, we aim to redefine the technology landscape from atoms to architecture.We are driven by the belief that smaller, faster, and self-built solutions are superior.Our lab is equipped with advanced 3D printers, various microscopes, e-beam writers, and general fabrication tools - and we are always ready to invent what's missing.Founded by Sam Zeloof and Jim Keller, Atomic Semi combines a passion for innovation with decades of industry experience.About the RoleWe are seeking motivated Electrical Engineering Interns for the upcoming fall term, commencing in September, with an ideal commitment of 4 to 8 months. As we reconstruct the chip fabrication process, you will engage in groundbreaking work.You will collaborate with fellow engineers to design and improve lithography systems, deposition tools, vacuum chambers, precision motion controls, plasma etching systems, and related technologies. Your responsibilities will include problem identification, prototyping solutions, and productionizing your innovations to transform IC manufacturing.Our approach emphasizes building and testing within days or weeks rather than months. To apply, please submit a portfolio showcasing your tangible projects. If you have successfully delivered a medium-to-high complexity system through a personal project or prior internship, you will thrive in our environment.

Anthropic is looking for a Research Engineer focused on model evaluations. This position involves research and development to assess and strengthen the performance of AI models. Teams are based in San Francisco and New York City, and the role supports remote work with required travel. Key responsibilities Design and implement evaluations for Anthropic's AI models Collaborate with team members to enhance model performance Contribute to research that pushes the boundaries of AI systems Location Remote-friendly (travel required) San Francisco, CA New York City, NY

Join us at OpenAI as a Research Engineer, where your innovative ideas will shape the future of artificial intelligence.About the RoleIn this pivotal position, you will be instrumental in developing cutting-edge AI systems that tackle challenges previously deemed insurmountable. We are seeking individuals with exceptional engineering capabilities, particularly in designing and enhancing large-scale distributed machine learning systems, writing efficient machine learning code, and advancing the scientific foundations of our algorithms.The most remarkable outcomes in deep learning are increasingly achieved at scale, necessitating engineers who thrive in expansive distributed systems. Your engineering expertise will be vital to driving significant advancements in AI technology.Key Responsibilities:Demonstrate strong programming and coding proficiencyPossess experience in managing and optimizing large distributed systemsExpress enthusiasm for OpenAI's innovative research methodologiesPreferred Qualifications:Exhibit a thoughtful perspective on the societal impacts of AI technologyBring prior experience in developing high-performance implementations of deep learning algorithmsAbout OpenAIOpenAI is at the forefront of AI research and application, committed to ensuring that general-purpose artificial intelligence serves the greater good of humanity. We strive to extend the limits of AI capabilities while prioritizing safety and human-centric design in our products. Our mission is to embrace diverse perspectives and experiences that enrich our understanding of humanity in the pursuit of our goals.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination. For more information, please refer to OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks will be conducted in accordance with applicable laws.

Who We Are:Motive is dedicated to empowering those who oversee physical operations by providing innovative tools that enhance safety, productivity, and profitability. For the first time, safety, operations, and finance teams can efficiently manage their drivers, vehicles, equipment, and fleet-related expenses all within a single cohesive system. Our cutting-edge AI technology offers unparalleled visibility and control, significantly reducing manual workloads through automation and streamlined processes.We proudly serve nearly 100,000 customers—from Fortune 500 companies to small businesses—spanning various sectors such as transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.To learn more, visit gomotive.com.About the Role: We are in search of a highly experienced leader in Electrical Engineering who possesses a comprehensive understanding of hardware systems and exceptional cross-functional team leadership abilities. You will oversee and mentor the Electrical, Camera, RF, and other specialized teams responsible for developing our new products. As an engineering leader, you will play a pivotal role in shaping product definitions and will be called upon to lead during critical phases, with direct access to the company’s executives.What You’ll Do: Lead the Electrical Engineering team, which includes system generalist engineers and subject matter experts in RF, camera, and power.Serve as a key leader for all New Product Introduction (NPI) projects, ensuring high standards in design, effective problem-solving, and performance target achievement for our devices.Act as a crucial partner to the Technical Project Management (TPM) and Embedded software teams.Develop and implement process improvements as we refine our design, validation, and qualification methods for products and partners.Influence the product roadmap by presenting innovative technology options and identifying significant risks.What We’re Looking For: Over 10 years of experience in hardware engineering leadership; experience with OEM, ODM, and JDM is highly valued.A degree in Electrical Engineering or a related field.Proven experience managing engineering teams and overseeing multiple concurrent projects.Strong domain expertise in electronics development.Hands-on experience with board bring-up, power supply, signal integrity testing, as well as debugging and root cause analysis.Familiarity with various interfaces is highly beneficial.

Who We AreLightning AI, the innovative force behind PyTorch Lightning, was established in 2019 to create a seamless end-to-end platform for developing, training, and deploying artificial intelligence systems. Our mission is to facilitate the transition from research to production effortlessly.In partnership with Voltage Park, a leading neocloud and AI Factory, Lightning AI merges developer-centric software with optimized, large-scale computing solutions. We empower teams with the necessary tools for experimentation, training, and production inference while ensuring built-in security, observability, and control.We cater to individual researchers, emerging startups, and large enterprises alike. With a global presence, our offices are located in New York City, San Francisco, Seattle, and London, backed by top-tier investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Role Overview Syska Hennessy Group is hiring a Lead Electrical Engineer to design electrical systems across diverse projects. This position involves hands-on technical work and close collaboration with a skilled team focused on high-quality engineering outcomes. Location San Francisco, CA or Sacramento, CA

About Our TeamJoin the innovative Frontier Evaluations & Environments team at OpenAI, where we are dedicated to building transformative model environments that pave the way for safe artificial general intelligence (AGI) and artificial superintelligence (ASI). Our team constructs ambitious evaluation environments that not only measure but also enhance the capabilities of our models, creating self-improvement loops that inform our training, safety, and deployment strategies. Some of our notable open-source evaluations include GDPval, SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer. We have also executed frontier evaluations for groundbreaking models like GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are passionate about experiencing firsthand the rapid advancements of our models and guiding them toward a positive impact, this is the opportunity for you.Your RoleWe are in search of exceptional research engineers who are eager to push the limits of our frontier models. Our ideal candidates will play a vital role in shaping our empirical understanding of AI capabilities across a broad spectrum and will take ownership of specific projects from conception to execution.Key Responsibilities:Design and implement ambitious reinforcement learning environments to maximize our models' potential.Conduct assessments of frontier model capabilities, skills, and behaviors.Create innovative methodologies for the automated exploration of model behaviors.Guide training processes for our most extensive model training initiatives, gaining insights into the future of AI.Collaborate with cross-functional teams to align model evaluations with organizational objectives.

About the TeamFounded in 2018, DoorDash Labs is the innovation engine of DoorDash, dedicated to pioneering automation and robotics solutions that enhance last-mile logistics. Our mission is to develop technologies that empower human networks, driving efficiency for Dashers, merchants, and consumers. With a focus on impactful business solutions, our highly experienced team is composed of industry leaders from various robotics fields. As we look towards the future, we aim to improve upon our achievement of 10 billion deliveries by 2025.About the RoleWe are looking for a Senior Electrical Engineer to join our dynamic, multidisciplinary team, specializing in the creation of production-grade electrical systems for consumer and enterprise hardware platforms, including tablets, POS systems, peripherals, and connected devices.This role requires a robust background in mixed-signal board design, power systems, wireless integration, and high-volume product development. The ideal candidate is passionate about designing and delivering reliable hardware at scale, thriving in an environment that demands technical expertise and high-quality execution across multiple concurrent projects.You’re excited about this opportunity because you will…Architect and implement electrical subsystems, including:Power systems: battery management, charging, DC/DC converters, power distribution, and protection.Digital and mixed-signal board design: application processors, MCUs, high-speed interfaces (USB, PCIe, MIPI, etc.), memory, and sensor integration.Wireless systems: WiFi, BLE, LTE, antennas, and EMI/EMC-conscious layout and integration.Peripheral and display integration: touch interfaces, display subsystems, and external connectivity.Key ResponsibilitiesOwn the full lifecycle of electrical hardware from concept through schematic capture, layout review, bring-up, validation, certification, and production.