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Experience Level
Entry Level
Qualifications
Master's degree or higher in a relevant field (Biology, Bioinformatics, Computer Science, etc.). Proven experience in molecular design and simulations. Strong programming skills in Python or similar languages. Understanding of Generative AI and its applications in biological contexts. Excellent problem-solving abilities and a team-oriented mindset.
About the job
Situated in the heart of Silicon Valley, Genbio is an innovative start-up uniting a diverse team of forward-thinking scientists, engineers, and entrepreneurs. Our mission is to revolutionize biology and medicine through the transformative capabilities of Generative AI. Our collective expertise includes leading minds in AI and Biological Science, dedicated to redefining the boundaries of possibility. As pioneers in the realm of pan-modal Large Biological Models (LBM), we are setting a new standard in biomedicine and healthcare. With our groundbreaking foundation model training, we aim to unlock life-changing solutions and insights into biology. With our main office located in Silicon Valley and an additional office in Paris, we are on a path to making a significant impact globally. Join us as we work to reshape the future of biology and medicine with the power of Generative AI.
About Genbio
Genbio is an avant-garde start-up located in Silicon Valley, focused on leveraging Generative AI to innovate within the fields of biology and medicine. We are a collective of exceptional scientists and engineers committed to pioneering transformative solutions that can change lives.
About VoltaiAt Voltai, we are pioneering the development of advanced world models and intelligent agents that learn, evaluate, and interact with the physical environment. Our initial focus lies in understanding and enhancing hardware, particularly in electronics systems and semiconductors, where AI surpasses human cognitive capabilities in design and innovat…
About VoltaiAt Voltai, we are pioneering advancements in artificial intelligence by developing sophisticated world models and agents that learn, evaluate, plan, and interact with the physical environment. Our primary focus lies in enhancing hardware capabilities, particularly in electronics systems and semiconductors, where AI can surpass traditional human cognitive limitations in design and creation.About the TeamOur team comprises exceptional talent, including former Stanford professors, acclaimed SAIL researchers, Olympiad medalists, and industry leaders from renowned companies such as Google, AMD, and Broadcom. We are supported by top investors from Silicon Valley and have a diverse group of experts, including former U.S. government officials, committed to driving innovation in AI and hardware design.Role OverviewAs a Post-Training Research Engineer, you will focus on post-training cutting-edge models to autonomously execute intricate tasks within the semiconductor design and verification pipeline. The models you help develop will optimize chip architectures, refine RTL code, conduct simulations, identify verification gaps, and iteratively enhance designs to expedite semiconductor innovation. You will work alongside leading experts in hardware design and verification, crafting comprehensive reinforcement learning environments that encapsulate the complexities of chip design workflows. Your contributions will involve developing structured reward functions, scaling strategies, and evaluation frameworks aimed at enhancing model reliability, efficiency, and creativity in semiconductor reasoning.Ideal Candidate ProfileYou may excel in this role if you possess experience in:Creating and scaling reinforcement learning environments for large language models or multimodal agents.Building high-quality evaluation datasets and benchmarks for complex reasoning or design challenges.Collaborating closely with domain experts in hardware and verification to establish evaluation metrics, constraints, and simulation conditions.Designing reward functions and feedback pipelines that ensure a balance between correctness, performance, and design efficiency.Conducting large-scale reinforcement learning fine-tuning or post-training experiments on frontier models.
Situated in the heart of Silicon Valley, Genbio is an innovative start-up uniting a diverse team of forward-thinking scientists, engineers, and entrepreneurs. Our mission is to revolutionize biology and medicine through the transformative capabilities of Generative AI. Our collective expertise includes leading minds in AI and Biological Science, dedicated to redefining the boundaries of possibility. As pioneers in the realm of pan-modal Large Biological Models (LBM), we are setting a new standard in biomedicine and healthcare. With our groundbreaking foundation model training, we aim to unlock life-changing solutions and insights into biology. With our main office located in Silicon Valley and an additional office in Paris, we are on a path to making a significant impact globally. Join us as we work to reshape the future of biology and medicine with the power of Generative AI.
About VoltaiAt Voltai, we are pioneering the development of world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical realm. Our journey begins with a focus on hardware, specifically in electronics systems and semiconductors, where we harness AI to design and innovate beyond human cognitive capabilities.About the TeamOur team boasts extraordinary talent, including esteemed former Stanford professors, SAIL researchers, and medalists from prestigious competitions like IPhO and IOI. We are supported by top-tier investors from Silicon Valley and industry leaders, including CEOs and Presidents from Google, AMD, Broadcom, and Marvell.About the RoleAs a Research Engineer specializing in CUDA Kernel engineering, you will design, integrate, and optimize cutting-edge CUDA kernels that drive AI models, facilitating rapid advancements in semiconductor design and verification. Your contributions will empower extensive model training, inference, and reinforcement learning systems capable of reasoning about circuit layouts, generating and validating RTL, and optimizing chip architectures, all while efficiently utilizing thousands of GPUs.You will create tools, performance benchmarks, and integration layers that maximize GPU utilization for compute-intensive workloads in AI-driven hardware design. Collaborating closely with fellow researchers and engineers, you will help position Voltai as the foremost organization in AI and semiconductor research. Furthermore, your kernels and tools will be released as valuable contributions to the open-source AI and HPC ecosystems.You might excel in this position if you possess experience in:Writing and optimizing CUDA kernels for large-scale AI applications (e.g., attention mechanisms, routing, graph-based operations, and physics-inspired operators).Profiling and enhancing GPU performance for specialized compute or memory-bound workloads.Integrating custom kernels into state-of-the-art training and inference frameworks (including PyTorch, Megatron, vLLM, and TorchTitan).Engaging with the latest NVIDIA hardware and software frameworks (Hopper, Blackwell, NVLink, NCCL, Triton).Creating GPU-accelerated primitives for graph reasoning, symbolic computation, or hardware simulation tasks.
Ricursive Intelligence is an innovative AI research laboratory dedicated to revolutionizing the field of self-improving systems, beginning with advanced chip design. Our mission is to transform chip development processes by creating a synergistic link between artificial intelligence and the hardware that supports it, thereby accelerating the journey towards artificial superintelligence.We are seeking top-tier engineers and researchers with substantial expertise in RTL (Register Transfer Level) and design verification for cutting-edge chip design. Your responsibilities will encompass various verification methodologies, simulation practices, and debug/formal/equivalence flows. As part of an extraordinary team, you will leverage your practical experience in specification, RTL development, testbench architecture, regression testing, waveform analysis, and design closure to influence the algorithms and systems that modern chip design teams depend upon.
Full-time|$125K/yr - $175K/yr|On-site|Palo Alto, California, United States
At PsiQuantum, we are dedicated to realizing the potential of quantum computing by developing the first practical quantum computers that can achieve the breakthroughs anticipated in this exciting field. Since our inception in 2016, we have been singularly focused on building and deploying million-qubit, fault-tolerant quantum systems.Our cutting-edge quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the reach of even the most sophisticated supercomputers and AI systems. The transformative power of quantum technology is expected to revolutionize industries such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science.Our innovative architecture is grounded in silicon photonics, allowing us to utilize advanced semiconductor manufacturing processes in collaboration with leading partners like GlobalFoundries. This enables us to produce our systems at scale while benefiting from the inherent advantages of photonics, such as immunity to heat and electromagnetic interference, as well as seamless integration with existing cooling and fiber-optic technologies.In 2024, PsiQuantum announced government-supported initiatives to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois, marking a significant step towards scaling quantum computing in a way that is both economically and strategically viable.Additionally, we are committed to developing the algorithms and software essential for unlocking the commercial value of quantum systems. Our teams collaborate with Fortune 500 leaders like Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical to create quantum solutions that will have a real-world impact.Quantum computing is not merely an extension of classical computing; it represents a paradigm shift that opens pathways to address challenges that are insurmountable through conventional means. The potential is immense, and we have a clear roadmap to transform this potential into reality.Join us on this revolutionary journey.
Parallel is seeking a Design Engineer in San Francisco or Palo Alto. This role centers on creating innovative solutions that align with both industry standards and customer requirements. Role overview As a Design Engineer, collaboration sits at the heart of the work. Expect to work closely with a skilled team to design and implement new products. The position calls for both creative thinking and strong technical skills to ensure each design meets high quality standards. What you will do Work with team members to develop product designs from concept through implementation Apply technical expertise to solve design challenges and refine solutions Ensure all products meet industry benchmarks and customer expectations Requirements Experience in product design and engineering Ability to collaborate effectively with others Strong creative and technical problem-solving skills
Join vinci4d as a Strategic Account Executive focused on semiconductor accounts. In this pivotal role, you will leverage your expertise to drive sales and cultivate relationships with key clients in the semiconductor industry. Your insights and strategic thinking will help to position vinci4d as a leader in the market.
Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.
Join our innovative team at ridealso as a Battery Pack Design Engineer! We are seeking talented individuals at various experience levels to contribute to the design and development of cutting-edge battery solutions. This role offers the opportunity to work in a dynamic environment focused on advancing technology and sustainability.
At genbio, a cutting-edge start-up based in Silicon Valley, we unite visionary scientists, engineers, and entrepreneurs who are passionate about reshaping biology and medicine with the innovative potential of generative AI. Our team is comprised of leading experts and trailblazers in AI and biological sciences, continually striving to push the frontiers of what's achievable. We are the dreamers who are re-envisioning the future of biology and medicine.Our mission is to comprehensively decode biological processes, paving the way for transformative health solutions. As pioneers in pan-modal Large Biological Models (LBM), we are at the forefront of a new era in biomedicine, where our LBM training is catalyzing groundbreaking advancements and reshaping healthcare. With a robust R&D team and a leadership role in LLMs and generative AI, we are well-positioned to make a significant global impact. Join us on this exciting journey as we redefine the future of biology and medicine through the transformative power of Generative AI.
About UsOdyssey is an innovative AI laboratory at the forefront of developing general-purpose world models. These advanced multimodal intelligence systems are set to revolutionize consumer, enterprise, and intelligence applications. With models like Odyssey-2 Pro, we are pioneering the next significant leap in AI technology.Position OverviewWe are in search of passionate engineers who excel in the art of building robust systems. You should possess the ability to write elegant, scalable machine learning code, with a strong emphasis on performance and an understanding of the underlying research. You are comfortable navigating the realms of modeling and systems, boldly tackling complex technical challenges while taking pride in constructing the infrastructure and tools that enable groundbreaking advancements.Your ResponsibilitiesDevelop and scale the training and inference systems that drive Odyssey’s general-purpose world models, encompassing large-scale distributed pipelines and real-time optimization.Collaborate closely with researchers to prototype novel architectures, enhance model performance, and transition concepts from research to production.Create high-performance data and computation systems for video generation and control, facilitating rapid iteration and effective resource utilization.Design tools, metrics, and visualizations that provide insights into model behavior and evolution.Work hand-in-hand with product engineers to incorporate Odyssey’s models into real-time, interactive user experiences that exemplify new general-purpose world models.Embrace a fast-paced iterative approach. As part of a tightly-knit team, your experiments will evolve into demos and ultimately into products.Contribute to shaping Odyssey’s engineering culture, which is pragmatic, research-oriented, and always focused on what is possible next.Your ProfileA staff-level or senior engineer experienced in large-scale machine learning systems, distributed training, performance optimization, or model deployment.Hands-on and technically adept: you thrive on writing code, optimizing processes, and enhancing system efficiency.Proven experience with data structures, algorithms, and coding practices that lead to high-performance outputs.
Full-time|On-site|Palo Alto, California, United States
About 1X Founded in 2015, 1X is a pioneering company dedicated to innovating advanced humanoid robots for home use. Our vision is to revolutionize labor availability with safe and intelligent humanoids that enhance everyday living.Position OverviewAs a Hardware Systems Prototyping / Research Engineer within the 1X Labs team, your primary responsibility is to redefine the limits of technology by rapidly creating and refining tangible systems that operate under real-world constraints.You will conceptualize and develop new mechanical systems and architectures, transforming ideas into functional hardware and rigorously testing them. Your prototypes will serve as tools to validate hypotheses, identify constraints, and maximize performance. The goal is not merely to achieve functionality but to approach human-level behavior or fully understand the limitations.Your expertise spans mechanics, electronics, and software. You will iterate swiftly, with each prototype being meticulously measured, evaluated, and benchmarked against biological or system-level standards. Success means pushing the limits of what works, and failure is an opportunity to learn and advance.This role is execution-driven; you will generate original ideas and develop concepts from others, favoring practical implementation over theoretical discussions. Prototyping is a means to let the system inform you, not a final destination.Importantly, you will ensure the transition of successful prototypes into robust designs that can be seamlessly integrated with existing products, accommodating real-world constraints and production processes.
About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, save valuable time, and foster enhanced creativity and learning. Our innovative technology is crafted to effortlessly integrate into everyday work environments.We are committed to democratizing AI by offering high-performance, optimized, open-source models, products, and solutions. Our extensive AI platform caters to both enterprise and individual needs, featuring products like Le Chat, La Plateforme, Mistral Code, and Mistral Compute—creating cutting-edge intelligence accessible to all users.As a vibrant and collaborative team, we are driven by our passion for AI and its potential to revolutionize society. Our diverse workforce excels in competitive settings and is dedicated to fostering innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we pride ourselves on our creativity, humility, and team spirit.Join us in shaping the future of AI at a pioneering company. Together, we can create a lasting impact. Discover more about our culture at https://mistral.ai/careers.Role OverviewAbout the Research Engineering TeamThe Research Engineering team operates across Platform (shared infrastructure & clean coding practices) and Embedded (integrated within research squads). Our engineers have the flexibility to navigate the research↔production spectrum as their interests and needs evolve.As a Machine Learning Research Engineer, you will be responsible for building and optimizing large-scale learning systems that underpin our open-weight models. Collaborating closely with Research Scientists, you may join either:- Platform RE Team: Focus on enhancing our shared training frameworks, data pipelines, and tools utilized across all teams; or- Embedded RE Team: Become part of a research squad (Alignment, Pre-training, Multimodal, etc.) to turn innovative ideas into scalable, repeatable code.Key Responsibilities• Support researchers by managing the complex aspects of large-scale ML pipelines and developing robust tools.• Bridge cutting-edge research with production: integrate checkpoints, optimize evaluations, and create accessible APIs.• Conduct experiments utilizing the latest deep-learning techniques (sparsification on 70B+ models, distributed training across thousands of GPUs).• Design, implement, and benchmark ML algorithms; produce clear and efficient code in Python.• Deliver prototypes that evolve into production-grade components for Le Chat and our enterprise API.
Join Our TeamAt Parallel, we are at the forefront of web infrastructure innovation, empowering businesses in various sectors—sales, marketing, insurance, and technology—to develop sophisticated AI agents equipped with robust programmatic access to the internet.Having secured $130 million in funding from prestigious investors such as Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain, we are building a premier team of engineers, designers, marketers, sales professionals, researchers, and operational specialists to fulfill our ambitious vision.Your ProfileWe are looking for a researcher who embodies an engineering mindset, or an engineer who approaches problems with curiosity typical of researchers. You may have experience with information retrieval systems, embedding models, or neural ranking at scale, or possess a deep interest in the challenges of training models to comprehend and navigate billions of web pages. You will excel in the intersection of theory and practical application, devising elegant solutions that perform efficiently on real-world infrastructure. You'll be equally comfortable reading the latest papers from SIGIR and RecSys as you are troubleshooting distributed training pipelines.Position OverviewIn this role, you will design and train models that drive Parallel's APIs—the intelligent framework that enables AI agents to extract precise information from the open web. This involves addressing complex research challenges that most labs only encounter at scale: How can we create embedding models that accurately represent semantic intent across various query types? How do we achieve a balance between model expressiveness and sub-second retrieval times? How can we ensure our index remains up-to-date with the constantly evolving web, without the need for complete rebuilds?Unlike conventional search engines tailored for human queries, you will be developing solutions for AI agents that generate intricate, multi-hop queries, requiring structured, programmatic responses. This is information retrieval redefined for the era of large language models, merging traditional information retrieval methods with cutting-edge deep learning, applied at a scale that necessitates innovative solutions.Working EnvironmentOur team collaborates fully in-person at our headquarters in Palo Alto and our San Francisco office. We pride ourselves on being a flat, talent-rich organization committed to tackling both technical and creative challenges.We are eager to welcome individuals who share our enthusiasm for leveraging science, creativity, and consistency to address large, complex problems with significant impacts. Here are our core values:Customer Impact Ownership: We take responsibility for delivering tangible results for our clients.
Rivian Volkswagen Technologies brings together expertise from two major automotive companies to advance the future of electric vehicles. The team focuses on developing new operating systems, zonal controllers, and cloud connectivity solutions for software-defined vehicles. Role overview This Senior Mechanical Design Engineer position centers on electronic module design and packaging. The work involves treating electronics packaging as a complex challenge, where space, thermal management, rigidity, and cost must be balanced. The role requires thoughtful consideration of engineering trade-offs to reach practical solutions. What you will do Design electronic modules with attention to space constraints, thermal performance, and structural integrity. Apply knowledge of manufacturability, including draft angles and flow rates, to guide design decisions. Tackle engineering problems by identifying root causes and proposing hands-on solutions. Requirements Strong background in mechanical design for electronic modules. Experience balancing competing requirements such as space, thermal, rigidity, and cost. Understanding of manufacturability principles and engineering trade-offs. Problem-solving skills and a practical approach to innovation.
Full-time|$115K/yr - $115K/yr|On-site|Palo Alto, California, United States
Join ALTEN Technology USA, a pioneering engineering firm dedicated to transforming innovative concepts into reality. Our work spans from enhancing space exploration and developing life-saving medical devices to the creation of cutting-edge autonomous electric vehicles. With a workforce of over 3,000 skilled professionals throughout North America, we collaborate with top-tier companies across diverse sectors including aerospace, medical technology, robotics, automotive, commercial vehicles, electric vehicles (EVs), rail, and beyond.As a proud member of the global ALTEN Group, which boasts a community of more than 57,000 engineers in 30 countries, we manage the entire product development lifecycle—from initial consulting to comprehensive project outsourcing.By joining ALTEN Technology USA, you will tackle some of the most challenging engineering problems worldwide, backed by mentorship, ample career advancement opportunities, and a robust benefits package. We are committed to nurturing an environment where our employees feel appreciated, empowered, and motivated to excel.Position Overview:The Electronic Design Release Engineer will lead the technical evaluation and design release of automotive Electronic Control Unit (ECU) components affected by end-of-life or obsolescence issues. This role involves conducting component risk assessments, formulating replacement strategies, and overseeing redesign processes to ensure system compatibility.Key Responsibilities:• Collaborate with hardware design teams and software engineers to align product specifications and ensure seamless integration.• Design and implement architectures that harmonize hardware limitations with software performance.• Create and execute test plans for hardware-software interactions, perform debugging, and validate functionality in real-world scenarios.• Serve as a liaison among mechanical, electrical, and software teams to enhance product development efficiency.• Maintain comprehensive technical documentation, ensuring adherence to industry standards and facilitating certification processes.
We are seeking a highly motivated Senior Research Associate to join our dynamic team at Arc Institute, focusing on groundbreaking research in molecular engineering. In this role, you will leverage your expertise to contribute to innovative projects and collaborate with leading scientists in the field.
About VoltaiVoltai is at the forefront of innovation, developing advanced world models and intelligent agents that learn, evaluate, plan, and interact with the physical realm. Our journey begins with hardware: electronic systems and semiconductors where artificial intelligence transcends human cognitive limitations in design and creation.About the TeamSupported by Silicon Valley’s elite investors, Stanford University, and prominent figures including CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our diverse team comprises former Stanford professors, SAIL researchers, Olympiad medalists, former CTOs of major tech companies, and high-ranking officials from the U.S. government.About this RoleAs a Senior Design Verification Engineer, you'll play a pivotal role in shaping the future of silicon design tools by merging deep verification expertise with cutting-edge AI systems. Your responsibility will extend beyond chip verification to revolutionizing how teams approach this critical task. If you're passionate about creating scalable tools that address the complexities of hardware design, this position offers significant ownership and a direct impact on real-world chip development.What You’ll DoDrive the verification strategy for various IP blocks and subsystems, from testbench architecture to signoff.Design and implement AI-assisted workflows to accelerate verification processes, ensuring coverage closure and effective debugging.Create reusable verification frameworks utilizing SystemVerilog, UVM, Python, and bespoke automation tools.Collaborate with machine learning and software teams to seamlessly integrate AI models into existing design verification environments.Influence product direction by investigating how automation can transform verification methodologies.Engage with clients in a proactive manner, translating real-world design challenges into actionable product features.Ensure tapeout readiness by taking full responsibility for quality metrics, regression health, and coverage targets.Mentor junior engineers, establishing best practices for next-generation verification teams.What Makes This Role UniqueThis is an exceptional opportunity to influence the future of tooling and AI-guided verification methodologies.
Join mindrobotics as a Research Scientist or Engineer and play a pivotal role in establishing the core of general-purpose robotics. We seek individuals from diverse backgrounds in robotics, machine learning, or large-scale generative models, driven by the ambition to translate theoretical research into practical systems. If you have experience with training foundation models, possess a deep understanding of Vision-Language Models (VLMs) and Vision-Language Applications (VLAs), and are eager to bring these concepts to life through real-world hardware, this position is ideal for you. This role encompasses the entire development process, from creating innovative methodologies to scaling training systems, and engaging directly with robots to identify key operational insights. We value team members who demonstrate ownership, seamlessly navigate between research and engineering, and are passionate about seeing their contributions manifest as tangible robotic behaviors.
