Silicon Research Engineering Lead

Normal Computing creates core software and hardware for the semiconductor industry, AI infrastructure, and other critical systems. The team operates in New York City, San Francisco, Copenhagen, Seoul, and London. Role overview The Silicon Research Engineering Lead will focus on pushing the boundaries of computing hardware and exploring the physical limits of computation. This role aims to unlock new levels of performance and efficiency that go beyond conventional architectures. Key responsibilities Guide early-stage concepts through research, evaluating which ideas are ready for production and which should change direction or pause. Stay informed about new silicon technology developments and bring in advances that align with Normal Computing’s strategy. Deliver designs that are well-characterized, feasible, and support company objectives, without direct involvement in SoC architecture or tapeout. Lead and mentor the silicon research team, collaborating with experts in device physics, analog circuits, and emerging computing architectures. Manage and grow partnerships with research collaborators, directing joint projects and maintaining effective relationships. Work closely with the silicon implementation team to connect research with practical development. Requirements Background in mathematics or physics and a strong research orientation. Extensive experience with non-traditional compute domains, such as analog, photonic, or neuromorphic technologies. Proven ability to move unconventional ideas toward practical, real-world use. Location This position is based in New York City.

About Us:Located in the vibrant heart of New York City, Voyant Photonics is revolutionizing machine perception with innovative LiDAR devices that are not only compact enough to fit in your palm but also incredibly powerful, capable of measuring range, velocity, and reflectivity with unmatched precision. By utilizing state-of-the-art silicon photonic chips smaller than your fingertip, we provide sensors that combine exceptional performance with affordability, making them suitable for integration into various systems.Our technology challenges the conventional landscape of bulky, costly, and energy-intensive LiDAR systems, paving the way for high-precision sensing that can be broadly adopted across robotics, autonomous vehicles, drones, industrial automation, and much more. Join us at Voyant, where we empower the next generation of machines to perceive, comprehend, and navigate their surroundings like never before.Be part of our mission to redefine possibilities by transforming cutting-edge research in silicon photonics into real-world products.Why Join Us?At Voyant, you will contribute to the development of some of the most intricate silicon photonics chips, designed specifically for high-performance 3D sensing. These chips are fundamental to our LiDAR systems, and your efforts will directly influence our core products and strategic roadmap.As a Senior Silicon Photonics Engineer, you will be instrumental in defining photonic architecture and creating new passive and active components. Throughout your first year, you will take ownership of simulations and design system photonic integrated circuits (PICs), engaging hands-on from conceptualization to implementation.You will be part of a dynamic, rapidly growing team that collaborates closely across various domains, including photonics, systems, packaging, and electronics. The role offers significant technical ownership and genuine opportunities for career advancement—from spearheading component design to ultimately overseeing full tapeout initiatives across multiple disciplines. If you are passionate about pioneering technology and tackling significant challenges, this is a unique chance to shape a critical system within a company that is driving photonics innovation into the market.

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

Decagon seeks a Senior Research Engineer based in New York City. This role centers on driving research initiatives and developing new technologies that align with the company’s objectives. Role overview The Senior Research Engineer collaborates with team members from various disciplines. The work involves designing experiments, analyzing outcomes, and creating solutions for complex challenges. Key responsibilities Advance research projects that contribute to Decagon’s goals Build and refine technologies to address technical problems Work with colleagues from diverse backgrounds to design experiments and interpret findings

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

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

Job DescriptionJoin Fauna Robotics as a Lead Research Scientist and spearhead the advancement of innovative manipulation and autonomy systems tailored for humanoid robots navigating intricate, real-world environments. This position is ideal for a distinguished technical leader with a robust research background and a fervent desire to transform pioneering concepts into functional robotic solutions.In this pivotal role, you will be instrumental in shaping the technical strategy of our manipulation and autonomy framework, encompassing problem identification, algorithm development, system integration, and real-world implementation. While this position requires a hands-on, technical approach, it is also envisioned to evolve into a role focused on technical leadership and team development.We are flexible regarding titles for the right candidate, considering Staff, Principal, or VP-level positions, with responsibilities aligned with your experience and potential impact.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The company’s mission centers on making AI safe and beneficial for both users and society. Teams at Anthropic include researchers, engineers, policy specialists, and business leaders who work together to advance AI for the greater good. Safeguards Labs Team Safeguards Labs operates where research meets engineering. The team explores new safety methods to protect Claude and its users. Members design and prototype approaches for model safety, usage controls, and production reliability. Before moving ideas into production, the team tests concepts through offline analysis and controlled traffic trials. Safeguards Labs collaborates with groups focused on account abuse prevention and model behavior safeguards, serving as the research arm that turns complex safety challenges into practical defenses. Role Overview: Research Engineer Research Engineers in Safeguards Labs shape and execute the team’s research agenda. This role involves scoping independent projects, running experiments end to end, and deciding when a concept is ready for production or should be set aside. The team is intentionally small, with about three researchers for every software engineer. This structure gives each person broad autonomy and a strong voice in the direction of the group. Location San Francisco, CA or New York City, NY

OverviewAt OXMAN, a pioneering nature-focused research and design firm based in Manhattan, we leverage nature-centric solutions to tackle pressing challenges at the intersection of Nature and Humanity. Our interdisciplinary approach spans various sectors, fostering innovative concepts that redefine the interaction between the built environment and the natural ecosystem.Our initiative, EDEN, is dedicated to applied ecological systems operating on architectural, urban, and landscape scales. We are at the forefront of creating a digital design framework that engineers biodiverse and resilient ecosystems by developing software that empowers designers and engineers to incorporate essential ecosystem services—such as carbon sequestration, thermal buffering, and biodiversity—into their master planning and design processes. Our mission is to elevate ecosystem services from undervalued byproducts to vital infrastructure elements. We invite talented professionals to join us in revolutionizing the future of nature-centric design.We are currently seeking a Machine Learning Research Engineer to integrate into our dynamic design team in New York City. This role will be pivotal in supporting our efforts to deliver exceptional, data-driven design proposals utilizing EDEN’s innovative suite of ecosystem engineering tools.

About UsAt Percepta, we are on a mission to revolutionize pivotal industries through applied AI. Our focus is on ensuring that the sectors that drive our world, including healthcare, manufacturing, and energy, harness the power of cutting-edge technology. To achieve this, we closely collaborate with top-tier clients to facilitate AI transformation. We unite:Expertise in engineering, product, and research that is deployed at the forefront of innovation.Mosaic, our proprietary toolkit designed for the rapid implementation of intelligent workflows.Strategic alliances with leading firms such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolio.Our team consists of a dynamic group of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI to enhance everyday experiences. Percepta is a proud partner of General Catalyst, a global leader in transformation and investment.Role OverviewAs a Research Engineer/Scientist specializing in LLM Modeling at Percepta, you will be at the forefront of developing and deploying large-scale language models. You will engage in pre-training, post-training (including instruction tuning, alignment, and distillation), reinforcement learning, and the crafting of specialized architectures to enhance reasoning, decision-making, and adaptability across critical sectors.Collaboration is key as you will work closely with Embedded Product Managers and engineers to create innovative yet practical decision systems that significantly transform business operations.Identify significant challenges and formulate research strategies encompassing pre-training, post-training, RL, and specialized model development.Prototype and scale training pipelines for large language models, experimenting with architectures, optimization methods, and post-training tactics.Contribute to the infrastructure necessary for high-performance distributed training.Conduct extensive real-world evaluations that yield millions in value.Collaborate with applied AI engineers to transition successful research findings into actionable features within our Mosaic platform.Effectively communicate research outcomes to both technical and non-technical stakeholders, ensuring clarity on the implications of research and its applications.

Hello, I'm Brian, the Co-Founder of Egra. We have recently secured $5.5M in funding to develop foundational models for brain signals, and we are on the hunt for our inaugural research engineer.From day one, you will possess full ownership of your projects. Forget about lengthy onboarding processes, waiting for approvals, or navigating through bureaucracies. Here, you will collaborate directly with the founders on complex technical challenges, armed with the resources necessary to address them. You will define the architecture of our infrastructure, make pivotal engineering choices, and construct the systems that drive our research forward. If you excel in an environment that values high agency and wish for your contributions to directly influence the company's direction, this is an exceptional opportunity.Key ResponsibilitiesEEG, or electrical activity of the brain recorded from the scalp, is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, significant subject variability, and inconsistencies across devices. Most shy away from these challenges.As our founding research engineer, you will oversee the systems that facilitate our research. Specific projects you will manage include:Creating versioned and reproducible preprocessing pipelines for EEG data from various sources, including device-specific normalization, channel mapping across montages, artifact detection, and signal quality assessments. Your systems will be able to instantly respond to queries like, "Which preprocessing version generated this result?"Designing infrastructure for experiment tracking and training that allows us to conduct numerous pretraining experiments concurrently without losing track of changes in hyperparameters, data splits, preprocessing versions, and model checkpoints, ensuring everything is linked and reproducible.Developing a data ingestion system capable of assimilating various EEG formats (EDF, BDF, BIDS, proprietary device exports) and normalizing them into a clean, internal representation.Enhancing training pipelines for optimal throughput on noisy, variable-length signal data using mixed precision, intelligent batching across different recording lengths, and efficient data loading for datasets that don't conform to standard loaders.Our VisionWe are aspiring to create a world where thought serves as an interface.Imagine composing a message silently as it types itself. Or navigating an AR display without any physical interaction. Our software aims to adapt to your cognitive state in real time, establishing a universal interface between human thought and digital interaction.

Who We Are:At Percepta, our mission is to revolutionize critical sectors through applied AI. We believe in leveraging cutting-edge technology to enhance industries that are foundational to our world, including healthcare, manufacturing, and energy. Our approach involves closely collaborating with industry-leading clients to facilitate AI transformation. Our strengths include:Expertise in engineering, product development, and research deployed at the forefrontMosaic, our proprietary toolkit designed for the swift implementation of intelligent workflowsStrategic alliances with renowned organizations such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolioOur rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers dedicated to translating the potential of AI into tangible improvements in everyday life.Percepta proudly operates as a direct partnership with General Catalyst, a global leader in transformation and investment.About the Role:As an Embedded Research Engineer/Scientist at Percepta, you will push the boundaries of AI research while collaborating closely with clients to create significant real-world impact. Your work will encompass post-training reinforcement learning, agentic modeling, and specialized architectures, with an emphasis on translating research advancements into production systems that revolutionize operations in crucial sectors.In contrast to conventional research roles, you will be integrated within client teams, gaining insights into business challenges, formulating research strategies that meet actual needs, and rapidly iterating based on field feedback. You will collaborate with our Embedded Product Managers, Research Product Managers, and Applied AI Engineers to ensure your research yields measurable value and is effectively deployed into active production.What You'll Do:Engage directly with clients to pinpoint high-impact research challenges that align frontier AI capabilities with critical business demands.Develop and implement research strategies focusing on LLM post-training, reinforcement learning, agentic modeling, and tailored model development that address client-specific issues.Create prototypes and scale training pipelines, experimenting with model architectures, optimization techniques, and post-training methodologies while quickly adapting based on client feedback.Conduct extensive customer evaluations that clearly demonstrate business value and foster AI adoption.

About the Role Anthropic is hiring a Software Engineer to support our Research Data Platform. This position is based in San Francisco, CA or New York City, NY. The team works closely with engineers and researchers to create data solutions that strengthen our research efforts. The work directly supports Anthropic’s mission to develop safe and beneficial AI.

Join Kepler AI: Redefining Trust in AI.At Kepler, we understand the critical nature of data integrity in AI tools. Our innovative architecture eliminates the possibility of hallucination, ensuring that every output is derived from verifiable sources. This means dependable answers for those making high-stakes decisions.With over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, our platform is trusted by firms that cannot afford to be wrong.We aim to provide a universal verification layer for AI, starting with finance and expanding into healthcare, legal, and insurance sectors. Our founders bring extensive expertise from industry leaders like Palantir, Citadel, and OpenAI.The RoleAs a Forward Deployed Engineer at Kepler, you will play a pivotal role in shaping our relationships with key clients. Your responsibilities will include deploying and customizing our AI-native research platform to meet the unique workflows of sophisticated financial firms and research organizations.This role embodies our principle of being "Forward-Deployed with Product DNA," meaning you will directly collaborate with clients to ensure their success while enhancing our platform for broader market use. Your code will influence significant financial outcomes.In your first 90 days, you will:Quickly create and refine vertical applications built on our core platform.Collaborate with Portfolio Managers managing over $10 billion in assets to design and implement tailored workflows.Gain deep insights into agentic tools, products, and technologies.Take ownership of the customer engagement process from start to finish.This is the ideal position for individuals eager to innovate in the future of financial research.

About Mirage Mirage builds an AI-powered video platform in Union Square, New York City. The team focuses on transforming video production and editing by applying natural language processing. Their models aim to capture the creative decisions professional editors make, helping skilled teams work faster and making video creation accessible to more people. Role Overview: Research Engineer, Video Generation This role joins an interdisciplinary group working on technical and creative problems in generative media. As an early member of the engineering team, the position involves shaping core solutions to industry-wide challenges. The work directly influences how creative expression evolves in video production.

Antimetal is on the lookout for a Research Engineer to enhance the intelligent systems that drive our innovative solutions. In this role, you'll be tasked with prototyping cutting-edge methodologies, conducting experiments, and overseeing the transition from research to real-world application. Collaboration with our platform and product teams will be key as you help shape the capabilities of our AI agents and contribute to the development of evaluation methodologies.Modeling infrastructure and its observability is a challenging domain. The telemetry we handle is often high-volume, chaotic, and transient, with ground truth that is often only approximate. Our goal is to develop AI agents capable of understanding this intricacy and reasoning about operational dynamics, including implementing code and configuration modifications.Research Focus AreasInfrastructure Intelligence: Developing models to comprehend infrastructure behaviors and the underlying reasons, such as anomaly detection, issue forecasting, telemetry analysis across logs, metrics, events, and traces, and understanding causal relationships. These foundational capabilities enable our agents to reason effectively about infrastructure.Autonomous Agents: Designing long-running, parallel agents that can identify, diagnose, and remediate infrastructure problems, including the ability to fix code and configuration issues. Enhancements in multi-step reasoning, orchestration, context management, memory, and reinforcement learning will be essential for this role.Evaluation: Ensuring the performance of our agents and guiding improvements by collaborating with the platform team to establish evaluation methodologies, generate synthetic data, analyze past incidents, and model the domain.About AntimetalAntimetal aims to redefine the future of infrastructure management. Our mission is to create a platform that identifies, resolves, and prevents issues, allowing engineers to focus on what they excel at: developing exceptional products.Your Responsibilities:Experiment, Evaluate, Iterate, Ship: Conduct experiments across our research domains, analyze outcomes, validate effective methods, and transition successful strategies into production.Build Evaluation Infrastructure: Work alongside the platform team to establish live and offline evaluation systems, benchmarks, and synthetic data generation tools that facilitate continuous improvement.

About CampusCampus is transforming the landscape of higher education with a bold mission: to accelerate the development of tomorrow's talent and redefine the college experience for today’s aspiring students. As college expenses soar, the outcomes remain stagnant, leaving students in a lurch. We believe that traditional education must evolve to meet the ambitions of modern learners who cannot afford to wait.At Campus, we offer a cutting-edge, accredited two-year college program where students engage with esteemed professors from top-tier universities such as Princeton, Stanford, and Howard through dynamic, live online classes. Our graduates emerge equipped with essential business and AI skills, prepared to embark on their careers or transfer to prestigious four-year institutions. Our innovative approach is built upon a state-of-the-art technology platform and a meticulously researched model of student success that ensures each learner receives personalized guidance and on-demand academic support. We are honored to be recognized as one of Fast Company's Most Innovative Companies of 2024.Supported by an exceptional group of investors who share our passion for the future of education—including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, and notable figures like Sam Altman and Shaquille O’Neal—we are poised to lead the charge in educational innovation.As the landscape of higher education evolves, we are at the forefront of change. Join us in shaping the future!About the RoleWe are in search of a Senior Staff AI Research Engineer who is passionate about making Campus the leading organization in AI-driven learning. This pivotal role calls for extensive technical expertise in machine learning and a fervor for creating innovative systems that enhance and personalize the student experience. You will spearhead research initiatives, develop production-ready AI features, and contribute to scholarly publications that push the boundaries of AI in education.Your Journey with Us Will Involve:Designing and developing groundbreaking AI systems to enrich the Campus learning experienceConducting thorough experiments to validate the efficacy of these systems...

Anthropic is looking for a Research Engineer with a focus on Machine Learning, particularly Reinforcement Learning (RL) Velocity. This position involves collaborating with a team to design, build, and refine machine learning systems. Much of the work centers on experimenting with new ideas and advancing AI research. What you will do Work alongside researchers and engineers to develop and optimize machine learning models Explore new methods in reinforcement learning to accelerate progress Contribute to projects that push the boundaries of AI capabilities Location and travel This role offers flexibility to work remotely, with some required travel. Anthropic maintains offices in San Francisco, CA and New York City, NY.

At distributed-spectrum, we are pioneering cutting-edge systems that drive the future of radio spectrum intelligence. Our mission involves collecting radio data globally, training sophisticated neural networks to interpret this data, and deploying them on the smallest chips available. We are tackling complex, unprecedented challenges where conventional solutions fall short, and have built our unique technology stack from the ground up, including innovative embedding model architectures, custom GPU kernels, and beyond.By joining distributed-spectrum, you will take ownership of significant components in a rapidly expanding AI research organization. You will collaborate with a highly skilled team with decades of expertise in probabilistic machine learning, accelerated computing, embedded systems, and signal theory. This is an opportunity for you to advance your career in an area that genuinely interests you. If you're motivated by solving challenging problems without compromising on technical excellence, business value, and real-world impact, you will thrive in our environment. We foster a culture of high ownership and trust, working together in the office five days a week.The RoleWe are seeking a Tech Lead Manager (Platform) to spearhead our platform engineering efforts. In this role, you will be responsible for developing shared services, data pathways, tooling, and technical foundations that are pivotal to enhancing customer experiences.This staff-level position is designed for an individual who is a full-stack developer with a systems-oriented mindset. You will engage in writing and reviewing actual code, making critical technical decisions, leading a motivated team, and possessing a robust understanding of networks, operating systems, and real-world constraints to construct software that performs reliably under challenging conditions.Our product operates at the intersection of software and the physical world, meaning that your decisions regarding data paths, pub/sub architecture, map rendering, offline functionality, and networking will directly influence customer experiences. The ideal candidate will not only work within these constraints but will also grasp the reasons they exist.What You'll Own• Architecture and evolution of our platform and shared services layer• Data pathways from sensor processing to customer-facing web and Android experiences• Technical decisions across the stack, including library selection, system design, and deployment• Translating customer deployment insights into a clear, actionable development strategy• Engineering practices that elevate quality, reliability, and execution standards• A small team of engineers that you will mentor, develop, and recruit alongsideHow You'll Lead- This role prioritizes technical expertise over managerial responsibilities.• Maintain deep involvement in system design and technical decision-making• Make key choices regarding technology, including tool selection for data pathways, implementation of pub/sub systems, and map library usage• Integrate feedback from team members and stakeholders to refine processes and outcomes.