Power Management Design Engineer

Join Array Labs, a pioneering company dedicated to developing cutting-edge radar systems that empower humanity to comprehend and react to transformations in the physical world.We are on the verge of launching an orchestrated fleet of radar satellites aimed at constructing a high-resolution 3D map of the Earth, continuously updated in real-time. This initiati…

Join Array Labs, a pioneering company dedicated to developing cutting-edge radar systems that empower humanity to comprehend and react to the dynamic physical world.We're on the verge of launching an integrated fleet of radar satellites designed to generate a real-time, high-resolution 3D representation of the Earth. This innovative approach will facilitate rapid, informed decision-making for governmental and commercial entities involved in disaster management, infrastructure resilience, and critical geopolitical intelligence.Our team is responsible for the complete design and fabrication of these state-of-the-art satellites, which promise unmatched accuracy, coverage, and responsiveness to deliver essential insights precisely when and where they are needed.Job OverviewAs a Senior RF Design Engineer, you will play a crucial role in designing and validating the RF electronics that drive Array's radar sensors. Your responsibilities will encompass low-noise receive chains, high-power transmit chains, RF switching and protection, bias and control circuitry, as well as the integration of transceiver and timing-sensitive RF subsystems.You will be involved in the entire hardware development lifecycle, from schematic design to prototyping, bring-up, characterization, and qualification. Collaboration with antenna, mixed-signal, mechanical, and systems engineers will be key, as the RF hardware you create will significantly influence signal quality, sensitivity, output power, stability, and overall on-orbit performance.

At PsiQuantum, we are on a groundbreaking mission to develop the first practical quantum computers capable of delivering the transformative breakthroughs long anticipated in the quantum field. Since our inception in 2016, our unwavering focus has been on constructing and deploying million-qubit, fault-tolerant quantum systems.Quantum computers leverage the principles of quantum mechanics to solve complex problems that surpass the capabilities of even the most advanced supercomputers and AI systems. The impact of our technology is poised to revolutionize industries such as energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our architecture is rooted in silicon photonics, exploiting advanced semiconductor manufacturing processes in collaboration with partners like GlobalFoundries. This approach allows us to utilize high-volume production techniques that have already yielded billions of chips for telecommunications and consumer electronics. Photonics presents inherent advantages for scalability, including immunity to heat and electromagnetic interference, as well as seamless integration with existing cryogenic cooling systems and standard fiber-optic infrastructure.In 2024, PsiQuantum announced government-backed initiatives to support the establishment of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a growing acknowledgment that quantum computing will shape the future strategically and economically, making it imperative to scale our efforts.Moreover, PsiQuantum is dedicated to developing the algorithms and software essential for transforming these systems into commercially viable solutions. Our application, software, and industry teams collaborate closely with leading Fortune 500 companies, including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to ensure our quantum solutions have a real-world impact.Quantum computing is not merely an extension of classical computing; it represents a fundamental paradigm shift offering pathways to tackle challenges that cannot be resolved through traditional means. The potential is immense, and we have a clear roadmap to make this vision a reality.Join us on this exciting journey!

Join Stanford Medicine Children's Health as a Project Engineer specializing in Design & Construction. In this pivotal role, you will collaborate with multidisciplinary teams to oversee the planning and execution of healthcare projects that enhance patient care environments. Your expertise will contribute significantly to our mission of delivering exceptional healthcare services.

Woven by Toyota is driving Toyota’s transformative journey into a modern mobility enterprise. Our vision is to redefine mobility through innovative, human-focused solutions that serve society at large.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (ADAS), our autonomous driving technologies; Arene, our software platform for software-defined vehicles; Woven City, a testbed for mobility innovations; and Cloud & AI, the digital backbone supporting our collaborative efforts. Our business-critical functions empower these teams to achieve a singular ambitious objective: creating a world with zero accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we confront challenges in Autonomy at the intersection of AI, Robotics, and Advanced Driving. Our work encompasses analyzing vast amounts of multimodal driving data, tackling optimization challenges, reducing latency on hardware accelerators, deploying scalable machine learning (ML) training and evaluation pipelines, and innovating neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are seeking proactive and innovative problem solvers to join our mission of enhancing mobility for all through human-centered automated driving solutions.WHO ARE WE LOOKING FOR?We are in search of a seasoned, hands-on ML Engineering Manager to lead a team of skilled and passionate ML Platform engineers. This role will involve close collaboration with our ML teams to enhance and scale our overall ML engineering initiatives, facilitating the deployment of Perception, Prediction, and Planning ML models alongside our AD/ADAS stack into millions of Toyota vehicles.This position will focus on developing and implementing tools, automation, and infrastructure that support the entire ML software lifecycle—ranging from data loading of curated ML datasets, large-scale ML model training, evaluation, and deployment, including quantization and the conversion of models into formats compatible with our edge devices.The ideal candidate possesses a collaborative spirit and a deep-seated passion for self-driving technology and its potential global impact. You will leverage your expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience in developing tools and pipelines for vehicle perception, localization, prediction, and planning.

AI Research Engineer specializing in Reinforcement Learning | AI & RoboticsLocation: Palo Alto, CA (on-site)About 1XAt 1X, we are pioneering the development of humanoid robots that collaborate with humans to address labor shortages and foster abundance in various industries.The RoleAs an AI Research Engineer with a focus on Reinforcement Learning, you will play a vital role in enhancing NEO's capabilities through advanced RL algorithms. This position involves working in both simulated and real-world environments to create robust behaviors and implement them within home settings. Your contributions will be crucial in increasing the safety, efficiency, and versatility of our robotic systems.

Join Our Team at SimileAt Simile, we are revolutionizing decision-making in society by providing AI simulations that accurately model human behavior. Just as pilots and surgeons rely on simulations for training, we believe that businesses deserve the same rigor when making high-stakes decisions.Our groundbreaking work has led to the creation of the first AI simulation of society, featuring generative agents that reflect real human experiences. Backed by $100 million from top investors, including Index Ventures and renowned AI experts, we are on a mission to predict human behavior with unparalleled accuracy.The RoleAs an Applied Research Engineer and Member of Technical Staff (MTS), you will be integral in refining our models of human behavior. With a strong emphasis on scientific rigor, you will participate in the entire research cycle—from designing experiments to implementing them in production systems that influence real-world decisions.Your Responsibilities Will Include:Data Insight Extraction: Analyze extensive proprietary datasets, including unstructured interviews and behavioral data, to uncover meaningful insights.Hardware Proficiency: Develop and optimize algorithms for cutting-edge NVIDIA hardware, conducting experiments that inform our model training.Scientific Leadership: Design thorough evaluations that validate our behavioral simulations against industry standards.Pushing Boundaries: Engage with the latest research in simulation and AI, continuously enhancing our methodologies and documentation.

Position OverviewJoin our innovative team at Nace.ai as we push the boundaries of artificial intelligence through cutting-edge research in large language models (LLMs) and vision-language models (VLMs). We are in search of a talented AI Research Engineer with a strong focus on adaptive learning methodologies, including meta-learning and hypernetworks. Your role will encompass the design and implementation of advanced architectures for dynamic model adaptation, enhancing model reasoning capabilities, and effectively sharing insights with both research and engineering teams.Essential Qualifications:Demonstrated experience with LLMs or VLMs in both research and production environments.Strong foundational knowledge in Natural Language Processing, Machine Learning, or related fields, particularly in language model development.A proven history of tackling complex challenges in language understanding and generation, employing rigorous quantitative methods.Exceptional communication skills for conveying research findings to varied technical audiences.Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow, alongside experience in distributed training and model optimization.Desirable Qualifications:PhD in Computer Science, Computational Linguistics, or a closely related discipline with an emphasis on language models and adaptive learning frameworks.Substantial research and engineering background with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, supported by grants, fellowships, patents, or contributions to open-source initiatives.First-author publications in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals focusing on language models, meta-learning, hypernetworks, or adaptive AI.Preferred Technical Expertise:In-depth research knowledge in LLM reasoning, hypernetworks, multi-task learning, meta-learning, and the design of innovative LLM adaptation techniques, including online continual learning.

At PsiQuantum, we are on a groundbreaking mission to create the first practical quantum computers—devices capable of unlocking the monumental advances that the field has long envisioned. Established in 2016, our exclusive commitment is to design and implement million-qubit, fault-tolerant quantum systems.Quantum computers leverage the principles of quantum mechanics to tackle challenges that even the most powerful supercomputers or AI technologies cannot address. Their potential applications span across critical sectors such as energy, pharmaceuticals, finance, agriculture, transportation, materials science, and many more.Our innovative architecture is rooted in silicon photonics. By capitalizing on the sophisticated semiconductor manufacturing processes—collaborating with partners like GlobalFoundries—we are able to utilize the same high-volume techniques that produce billions of chips for telecommunications and consumer electronics. Photonics presents inherent advantages for scalability: photons are unaffected by heat, resistant to electromagnetic interference, and seamlessly integrate with existing cryogenic cooling and standard fiber-optic systems.In 2024, PsiQuantum announced government-supported initiatives aimed at constructing our inaugural utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a growing acknowledgment that quantum computing is poised to be strategically and economically transformative—and that the time to scale is now.Additionally, PsiQuantum is dedicated to developing the algorithms and software essential for maximizing the commercial viability of these systems. Our application, software, and industry teams collaborate directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for tangible world applications.Quantum computing signifies not a mere extension of classical computing, but a radical transformation—a pathway to overcoming obstacles that cannot be resolved through any other means. The possibilities are vast, and we possess a clear strategy to actualize them.We invite you to join our journey.

At PsiQuantum, we are on a groundbreaking mission to create the world's first practical quantum computers—machines that will unlock the immense potential of quantum technology. Established in 2016, our unwavering focus has been on the development and deployment of million-qubit, fault-tolerant quantum systems. Quantum computers utilize the principles of quantum mechanics to tackle complex problems beyond the reach of today's most advanced supercomputers and AI systems. Their transformative effects will resonate across a multitude of sectors, including energy, pharmaceuticals, finance, agriculture, transportation, and materials science. Our innovative architecture is founded on silicon photonics. By harnessing the cutting-edge semiconductor manufacturing industry, including collaborations with partners like GlobalFoundries, we leverage high-volume processes that have been proven effective in producing billions of chips for telecommunications and consumer electronics. The inherent advantages of photonics—such as immunity to heat and electromagnetic interference—make it an ideal solution for scaling quantum technologies. In 2024, PsiQuantum announced government-backed initiatives aimed at constructing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects highlight the growing recognition that quantum computing will play a pivotal role in shaping our future, both strategically and economically. We are also at the forefront of developing the algorithms and software that will make our quantum systems commercially viable. Our application, software, and industry teams collaborate closely with Fortune 500 leaders—such as Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to ensure our quantum solutions deliver real-world impact. Quantum computing signifies a revolutionary leap beyond classical computing, offering pathways to solve challenges that have previously been deemed insurmountable. The possibilities are vast, and we have a clear roadmap to bring them to fruition. Join us on this exciting journey!

AI Research Engineer, Scaling | InfrastructureLocation: Palo Alto, CA (on-site)At 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.The Role: As an AI Research Engineer specializing in Scaling, you will be responsible for architecting and implementing robust infrastructure that facilitates large-scale training, evaluation, and deployment for our fleet of robots. Your contributions will be essential in transitioning experimental systems into production-ready platforms, optimized for throughput, latency, and overall performance in both datacenter and edge environments. This role will significantly impact the efficiency of learning and inference processes, directly influencing the capabilities of our general-purpose humanoid robots.

About ridealso ridealso is building electric mobility solutions in Palo Alto, drawing on experience from Rivian. The team brings together engineers and creators focused on small, vertically integrated electric vehicles. The mission: deliver transportation that is more affordable, enjoyable, and dramatically more efficient for communities. Role Overview: Senior Mechanical Design Engineer This Senior Mechanical Design Engineer joins the Drivetrain and Actuators Team. The position centers on developing structural components, advanced motors, and geartrains, then integrating these systems into new vehicle platforms. Main Responsibilities Design and test drivetrain and actuator parts for light electric vehicles. Create detailed drawing packages and manufacturing instructions for assemblies and mechanical components. Build 3D models for components and assemblies, including die castings, injection-molded plastics, sheet metal, and fasteners. Work with electrical engineers to integrate PCBAs, wire harnesses, and electronics into mechanical systems. Coordinate validation activities with Tier 1 and Tier 2 suppliers. Develop and execute design verification plans and reports (DVP&R). Lead and maintain design failure mode and effects analyses (DFMEAs). Prototype and iterate designs through hands-on fabrication and lab testing. Qualifications Experience designing drivetrain components such as gears, bearings, castings, electric motors, thermal systems, and low voltage interconnects. Strong knowledge of material properties, heat treatment, statics, and dynamics. Proficient with 3D/2D CAD tools (Catia V5/V6 preferred) and CAE software (such as Ansys, Abaqus, or HyperWorks). Thorough understanding of GD&T and tolerance stack-up analysis. Familiar with PLM systems, bill of materials structuring, engineering change, and deviation processes.

Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.

Join Nubank as a Principal Software Engineer, where you will play a pivotal role in enhancing our Credit Card Core Platforms. We are looking for a passionate individual with a strong background in software engineering, who thrives in a collaborative environment and is eager to drive innovation. In this role, you will lead technical projects, mentor team members, and contribute to the overall architecture and design of our systems.

Join Array Labs, a pioneering company dedicated to developing cutting-edge radar systems that empower humanity to monitor and respond to changes in our physical environment.We are initiating a groundbreaking fleet of radar satellites that will generate a real-time, high-resolution 3D map of the Earth. This innovation will facilitate quicker, more informed decision-making for governmental and commercial entities involved in disaster management, infrastructure resilience, and critical geopolitical insights.Our team is responsible for the comprehensive design and production of advanced Earth observation satellites. These state-of-the-art satellites will provide unmatched accuracy, coverage, and responsiveness to deliver essential insights exactly where they are needed.About the RoleAs a Principal Electrical Design Engineer at Array Labs, you will play a vital role in designing and validating digital and mixed-signal electronics for our radar payloads and satellite systems. Your responsibilities will encompass high-speed digital interfaces, precision clocking, power regulation, system monitoring, and fault-tolerant satellite avionics. You will oversee the hardware development process, including design, prototyping, and qualification, collaborating closely with RF, antenna, mechanical, and systems engineers. The hardware you create will significantly influence system performance, power efficiency, stability, and reliability in orbit.

Join the Movement at ALSO.At ALSO, a pioneering electric mobility company spawned from Rivian, we are a dedicated team of creators and innovators committed to revolutionizing urban transportation through our unique, compact electric vehicles. Our vision is to inspire individuals to opt for ALSO, transforming local travel by offering cost-effective, enjoyable, and vastly more efficient alternatives to traditional cars and trucks.We are seeking a highly skilled Staff Structures Design Engineer to spearhead the design of critical chassis components, including frames, suspension systems, brakes, and body panels for our next-generation light electric vehicles.

Key ResponsibilitiesIn charge of designing and developing mechanical components and assemblies for data collection hardware and robotic devices.Rapidly prototype, test, and refine designs using 3D printing, CNC machining, and manual fabrication techniques.Engage in Design for Manufacturing (DFM) and Design for Assembly (DFA) to transition designs from low-volume prototypes to high-volume production.Source components and collaborate closely with machine shops and contract manufacturers to ensure timely and precise production of parts.Conduct basic analyses including tolerance, structural, and thermal assessments to support design validation.Create specifications and accelerated test plans to ensure product longevity and reliability.Support documentation efforts for design reviews and testing phases.Work collaboratively with cross-functional teams (electrical, software, industrial design) to consolidate design requirements and integrate mechanical systems effectively.

Join SpaceX as a Platform Engineer, where you will contribute to the development and maintenance of our cutting-edge technology platforms. This role entails working with a talented team to build robust systems that support our missions in space exploration. Your expertise and innovation can help us push the boundaries of what is possible.

About ALSO.At ALSO, we are revolutionizing electric mobility. Originally part of Rivian, our dedicated team of innovators and builders is committed to designing cutting-edge, vertically integrated small electric vehicles (EVs) that address the pressing mobility challenges of today and tomorrow. Our mission is to encourage everyone to embrace the joy of riding with ALSO, replacing traditional vehicle miles with more affordable, enjoyable, and significantly more efficient alternatives.Your RoleLead the design, development, and testing of electromechanical actuators and motor-driven systems for our lightweight electric vehicle platforms.Prepare comprehensive drawing packages and manufacturing guidelines for mechanical components and assemblies.Conduct 3D modeling of various components and assemblies, including die castings, injection-molded plastics, sheet metals, and fasteners.Collaborate closely with electrical engineers to ensure seamless integration of PCBAs, wiring harnesses, and electronic systems into mechanical designs.Work alongside firmware engineers to confirm that physical systems are compatible with robust control and integrate smoothly with embedded software.Oversee validation processes with Tier 1 and Tier 2 suppliers.Develop and implement design verification plans and reports (DVP&R).Conduct and maintain design failure mode and effects analyses (DFMEAs).Prototype and iterate designs through hands-on fabrication and lab testing to ensure functionality and performance.

About ALSO.At ALSO, we are revolutionizing electric mobility. Originally part of Rivian, our dedicated team of innovators is committed to designing and developing cutting-edge, vertically integrated electric vehicles (EVs) that address the mobility challenges of today and tomorrow. Our mission is to inspire communities to choose ALSO by offering vehicles that are not only affordable and enjoyable but also significantly more efficient—10 to 50 times more than traditional vehicles.We are seeking a Senior Site Reliability Engineer to join our team. In this pivotal role, you will be responsible for architecting and maintaining scalable, cloud-native systems that support vehicle telemetry, fleet management, and data analytics. The ideal candidate will possess profound knowledge in distributed systems, Kubernetes, AWS infrastructure, and data pipelines with a strong emphasis on reliability and operational excellence.Key Responsibilities:Operationalize microservices platforms utilizing Kubernetes (EKS) and AWS ECS.Enhance vehicle telemetry data ingestion and optimize data pipelines leveraging streaming technologies (Kafka/Kinesis) for high-throughput, low-latency workloads.Lead initiatives focused on reliability engineering, including the establishment of SLOs, SLIs, and incident response protocols.Deploy advanced observability solutions using tools such as Datadog, Grafana, and comprehensive logging pipelines.Design and maintain API Gateway-based service architectures.Manage on-call rotations and incident response frameworks using PagerDuty.Automate infrastructure provisioning employing Terraform and CI/CD tools (ArgoCD, Concourse).Advance system resilience, failover strategies, and multi-region reliability.Collaborate with product and platform teams to enhance vehicle lifecycle management and cohort analytics.