Senior Software Engineer - Multiagent Simulation

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

FieldAI is revolutionizing the interaction between robots and the real world. Based in Boston, our expanding R&D team is dedicated to creating reliable, risk-aware AI systems designed for the field. We address complex challenges in robotics and unlock the potential of embodied intelligence through a pragmatic approach that transcends conventional off-the-shelf, data-driven methods and transformer-only architectures. Our advanced solutions are currently deployed globally, with continuous model performance enhancements driven by rapid iterations from real-world applications.We invite you to join our dynamic humanoid manipulation team as a Senior Research Engineer. In this pivotal position, you will merge robotics research with practical engineering, focusing on developing, testing, and refining manipulation capabilities to advance autonomous control and loco-manipulation in humanoid robots. Collaboration will be key as you work alongside research scientists, engineers, and product partners to design innovative manipulation strategies that contribute directly to FieldAI's robot learning pipelines.Furthermore, you will play an instrumental role in enhancing robotics foundation models that are embodiment agnostic, initially targeting humanoid platforms. This position is centered around pushing the boundaries of manipulation research while ensuring that breakthroughs translate into scalable and practical autonomy in real-world environments.

FieldAI is at the forefront of revolutionizing the interaction between robots and the real world. Based in Boston, our dynamic R&D team is dedicated to developing AI systems that are risk-aware, reliable, and ready for field deployment. Our solutions address some of the most challenging problems in robotics, unlocking the full potential of embodied intelligence. We pride ourselves on a pragmatic approach that combines cutting-edge research with practical deployment, moving beyond standard data-driven methods and transformer-only architectures. Our systems are already deployed worldwide, and we are committed to continuous improvement through rapid iterations based on real-world applications.We are looking for enthusiastic engineers to join our team and contribute to the advancement of our humanoid robot software stack. In a fast-paced environment, you will collaborate with a focused team to integrate various subsystems such as perception, planning, locomotion, and manipulation into a seamless, reliable system that operates effectively in unstructured real-world environments. A key responsibility will be to transition research-grade capabilities into robust, production-quality systems. The ideal candidate will possess a solid understanding of robotic software systems and demonstrate the practical skills necessary for delivering high-quality, maintainable code within a small, dedicated team.

About Us: Based in Boston, Piaggio Fast Forward Inc. (PFF) is an innovative company founded in 2015 by the renowned Piaggio Group, celebrated for creating the iconic Vespa scooter. PFF is dedicated to developing technological solutions that enhance mobility and facilitate human movement. Our goal is to address the challenges of robotic interaction in dynamic environments, providing innovative solutions for urban and business transportation. We are passionate about fostering sustainable mobility, promoting healthy lifestyles, and ensuring social connectivity and productivity for all individuals, regardless of age or ability. Job Overview: We are seeking a Senior Robotics Engineer specializing in Localization to join our dynamic engineering team. The ideal candidate is a seasoned engineer with a collaborative spirit, capable of mentoring fellow team members. This is an on-site position, requiring presence in our Boston office five days a week. As a Senior Robotics Engineer, you will play a pivotal role in maintaining and advancing the systems that empower our robots, collaborating with various teams to ensure seamless functionality. You will significantly influence PFF's product development while reporting directly to the Director of Robotics Engineering.

Join the innovative team at Piaggio Fast Forward Inc. (PFF), a Boston-based company founded in 2015 by the renowned Piaggio Group, the creators of the iconic Vespa scooter. Our mission is to revolutionize urban mobility by developing cutting-edge technology products that enhance the way people move. At PFF, we are dedicated to solving the challenges of robotic interaction within dynamically evolving environments. We pride ourselves on our commitment to sustainable mobility, fostering healthy lifestyles, and ensuring social connectivity for everyone, regardless of age or ability.Your Role:Engage actively in the development of vision-based robotic systems.Write robotics software and create navigation and machine learning algorithms.Design and assess AI technologies applicable to mobile robotics.Develop tools for data collection from robots for analysis and training of machine learning models.Document and test your code while adhering to company standards.

FieldAI is revolutionizing the way robots interact with the real world. Based in Boston, our expanding R&D team develops AI systems that are risk-aware, reliable, and field-ready, addressing some of the toughest challenges in robotics while unlocking the capabilities of embodied intelligence. Our pragmatic approach goes beyond traditional, purely data-driven methods or transformer-only architectures, integrating cutting-edge research with real-world applications. Our solutions are deployed globally, and we continually enhance model performance through rapid iterations informed by real-world usage.We are looking for a Software Engineer specializing in Human-Robot Interaction. In this role, you will influence how humans and robots communicate, collaborate, and establish trust in various environments. You will design intuitive interfaces and natural language dialogue systems that make our robots accessible, understandable, and effective partners for operators across diverse sectors.This position lies at the nexus of robotics, artificial intelligence, and human factors. You will collaborate closely with both research and product teams, transforming cutting-edge insights from Human-Robot Interaction into deployment-ready systems that reach customers. Leveraging foundational models, you will transcend traditional command-and-control interfaces to enable rich, context-aware dialogue and adaptive robot behaviors. If you are passionate about bridging research and execution to tackle ambitious challenges in embodied intelligence, we would love to connect with you.

Join Field AI, a pioneering company revolutionizing robot interactions with the real world. We’re developing cutting-edge, risk-aware AI systems that solve the most intricate challenges in robotics, harnessing the full potential of embodied intelligence. Our innovative solutions have been globally deployed, yielding tangible results and continuously enhancing models through real-world applications.Our Hardware Team is at the forefront of designing and integrating perception and computational payloads that empower autonomous robotics systems to navigate complex environments. We handle the entire hardware stack, including sensing systems (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). Focused on both development (research, design, prototyping, testing) and operations (production, QA, debugging), our agile team is dedicated to enhancing core capabilities, reliability, and scalability as we build operational systems and procedures from the ground up.As a Mechanical Engineer Co-op with our Hardware Team, you will play a vital role in designing and implementing mechanical systems that protect and support our sensing and computing platforms in real-world settings. Your contributions will range from creating ruggedized enclosures to addressing thermal management and manufacturability challenges, ensuring our systems function reliably in the field. Your responsibilities will encompass the entire lifecycle from CAD design to production and field support, collaborating closely with electrical, computing, and systems engineers to deliver tightly integrated solutions for deployment in demanding environments. While your primary focus will be on mechanical systems, you will also have opportunities to contribute across various hardware domains.

FieldAI is revolutionizing the way robots engage with the physical world. Our innovative research and development team, situated in Boston, is dedicated to creating risk-aware, dependable, and field-ready AI systems that confront the most challenging issues in robotics, thereby harnessing the full potential of embodied intelligence. We adopt a practical methodology that transcends conventional, purely data-driven strategies or transformer-based frameworks, seamlessly integrating pioneering research with tangible deployment. Our solutions are actively utilized across the globe, and we are committed to consistently enhancing model performance through swift iterations driven by real-world applications.This Summer 2026 internship opportunity is tailored for PhD students keen on advancing humanoid manipulation and embodied intelligence in genuine robotic systems. As a research intern, you will operate at the convergence of robotics research and applied engineering, contributing to the development of manipulation systems for humanoid robots that underpin FieldAI’s initiatives in autonomy and robot learning.You will engage closely with FieldAI's research scientists and engineers to design experiments, develop manipulation systems, and test innovative ideas on actual hardware. This internship prioritizes the conversion of research into practical, scalable systems while also contributing to long-term projects focused on embodiment-agnostic robotics foundation models.

At Anduril Industries, we are revolutionizing defense technology with a commitment to enhancing U.S. and allied military capabilities through innovative advancements. Our vision integrates the expertise, technology, and business models of today's most pioneering companies into the defense sector, fundamentally transforming how military systems are conceived, developed, and delivered. Our systems are driven by Lattice OS, an AI-enhanced operating system that synthesizes vast data streams into a dynamic, 3D command and control hub. In an era marked by strategic competition, Anduril is dedicated to delivering state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking technologies to military operations in a matter of months, not years.ABOUT THE TEAMThe Maritime Division at Anduril is composed of a diverse group of professionals specializing in software, robotics, artificial intelligence, sensor fusion, and data analytics. Our mission is to create groundbreaking software and hardware solutions that significantly enhance our clients' capabilities in maritime operations. We are pioneering the next generation of autonomous systems designed to meet the demanding challenges of the maritime industry. Our innovative underwater vessel platform and versatile manufacturing architecture accommodate a range of vehicle sizes from small to extra-large. Currently, we are executing billion-dollar contracts while also providing Robot-as-a-Service (RaaS) AUV operations.We are eager to build on our initial successes through substantial investments into an expanded product line. Our offerings, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will create a cohesive system-of-systems, facilitating a variety of autonomous missions in the maritime sector. If you are driven by the desire to tackle impactful challenges and work on systems that directly advance national strategic goals, we invite you to join Anduril's Maritime Division and help shape the future of defense capabilities.

At WHOOP, we are dedicated to enhancing human performance and extending healthspan. Our mission is to empower individuals to achieve peak performance by providing them with a deeper understanding of their bodies, behaviors, and daily habits.We are currently seeking a Senior Research Manager for Design Research to spearhead and expand vital research initiatives within WHOOP Labs. In this pivotal role, you will oversee Design Research, guiding how early-stage insights can drive product innovation. As a leader who prioritizes people, you will harmonize strategic vision with team development and active participation, ensuring that research delivers both rigor and impactful results throughout the hardware development lifecycle.

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.

About Gecko RoboticsAt Gecko Robotics, we empower the world's most vital organizations to safeguard the availability, reliability, and sustainability of critical infrastructure. Our innovative and interconnected solutions utilize advanced wall-climbing robots, top-tier sensors, and an AI-driven data platform, providing clients with unparalleled insights into the current and future states of their physical assets. This capability fosters real-time decision-making, enhancing operational efficiency, safety, mission readiness, and environmental protection.Position OverviewJoin our rapidly expanding Manufacturing team at Gecko Robotics, where we are dedicated to developing robotic and software systems that bolster American industry and support crucial government initiatives. As a Software Engineer, you will design and develop both field and cloud software that drives robotic systems, processes sensor data, and enhances decision-making across the industrial landscape. You will collaborate closely with multidisciplinary engineers and Non-Destructive Testing (NDT) specialists to safeguard critical infrastructure and further national security efforts.Please note that, due to government program stipulations, candidates must possess authorization to work in the United States.Your ResponsibilitiesDevelop cloud and field applications tailored for the Military-Industrial Base.Create ontologies that represent the digital thread of industrial assets.Design robust interfaces between field and cloud software systems.Address complex deployment challenges as we implement software on edge devices throughout the United States.Rapidly iterate based on customer feedback while maintaining a long-term vision.Technologies UtilizedPython, Typescript, ReactGoogle Cloud Platform

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member brings to our vibrant workplace. We believe that everyone deserves an equal opportunity to succeed, and we value the unique insights that individuals contribute beyond traditional qualifications. If you find that you closely match the criteria but not perfectly, we encourage you to apply. Interested in discovering more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to take charge of their future.At Klaviyo, we envision a future where software transcends traditional productivity tools, evolving into intelligent systems that autonomously optimize based on performance metrics. Our platform serves as a crucial bridge between businesses and their consumers, boasting over 167,000 customers, billions of consumer profiles, and a vast array of customer interactions and conversion data. This presents an exciting opportunity to develop cutting-edge AI and machine learning technologies that will enhance our product offerings and create AI agents capable of autonomously orchestrating marketing strategies and customer experiences across various industries.As a Senior AI Engineer at Klaviyo, you will be instrumental in architecting and developing scalable backend systems and user experiences that drive our AI innovations forward. You will collaborate closely with product managers, machine learning engineers, and data scientists to create substantial real-world impacts at scale. This role is primarily backend-focused, providing opportunities to influence system architecture, asynchronous processing pipelines, distributed systems, and more.

Company OverviewAt 1910genetics, we are revolutionizing biotech through our AI-native approach, leading the charge in small and large molecule therapeutic discovery. Our innovative infrastructure leverages vast multimodal data, cutting-edge AI models, and high-throughput lab automation to redefine drug discovery.We pride ourselves on attracting the top 1% of talent to our dynamic team, which includes scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in creating the world’s first AI-driven infrastructure for tech-enabled drug discovery, aimed at delivering a diverse pipeline of drug modalities across all major disease areas.In the role of AI Research Scientist III at 1910genetics, you will be an essential Individual Contributor (IC), engaging with contemporary scientific literature, developing innovative prototypes, and actively participating in our drug design initiatives utilizing 1910’s production-grade AI/ML models.

Who We Are:At Formic, we are dedicated to transforming American manufacturing by making automation accessible to every factory. As challenges such as labor shortages, rising costs, and increasing global competition mount, automation has become essential for manufacturers wishing to remain competitive.We offer automation solutions through a Robotics-as-a-Service model, integrating industrial robotics, proprietary software, and comprehensive support into one cohesive solution. By eliminating traditional barriers of cost, complexity, and risk, we empower manufacturers to implement automation swiftly and achieve significant improvements in throughput, safety, and operational efficiency without the burden of substantial upfront investments.Supported by prominent investors like Lux Capital, Initialized Capital, Blackhorn Ventures, and Mitsubishi HC Capital North America, Formic is rapidly expanding and laying the groundwork for a new era of high-performance, Made in America production.About the Team:The Fleet Operations Team is crucial in driving uptime and operational efficiency across Formic’s expanding fleet of deployed robotic systems. Operating within live manufacturing environments, this team is responsible for diagnosing issues, restoring production, and continuously enhancing system reliability on a large scale. Fleet Operations works at the intersection of robotics, controls, and real-world factory execution, ensuring that Formic’s automation consistently delivers measurable performance across various industrial applications.About the Role:As a Robotics Field Service Engineer, you will serve as the primary technical owner for Formic’s deployed robotic cells. Your responsibilities will include diagnosing failures, restoring systems to operational status, performing preventative and corrective maintenance, and representing Formic directly within customer facilities.This role requires a hands-on approach and a high level of accountability in uptime-critical environments. To succeed, you must possess strong troubleshooting skills, maintain composure during production interruptions, and ensure thorough documentation. Your contributions will have a direct impact on fleet performance, customer satisfaction, and the long-term reliability of our systems.

About Standard BotsStandard Bots is dedicated to revolutionizing the landscape of automation by making it accessible to diverse industries. Our mission is to bridge the gap between the digital and physical worlds, enhancing productivity through our user-centric applications and APIs that facilitate innovative automation solutions. The Solutions Engineering team plays a pivotal role in advancing this mission by designing, installing, and supporting our cutting-edge six-axis robots.This role is remote, but candidates must reside in the Boston area, with up to 50% domestic travel required to support our customers.Note: Visa sponsorship is not available for this position.About the Role:We are seeking experienced problem-solvers who thrive in customer-facing roles to help shape the future of robotics. As an Applications Engineer, you will collaborate with engineers, organizational leaders, sales teams, and customers to design, install, and support groundbreaking robotic solutions.Key Responsibilities:Collaborate with sales and customers to create bespoke robotic solutions for innovative applications, acting as a trusted technical advisor throughout the sales process.Manage installations from start to finish, traveling to customer sites to install, program, and validate Standard Bots solutions.Develop technical enablement materials such as sample code, application notes, and white papers to empower customers to maximize their use of our platform.Work closely with our engineering team to test and refine new features and integrations as our product line evolves.Support marketing initiatives by creating collateral that effectively communicates the benefits of Standard Bots solutions to potential customers.

About Axiomatic AI Axiomatic AI builds AI systems that bring the rigor of the scientific method to reasoning. By combining deep learning, formal logic, and physics-based modeling, the team develops interpretable and verifiable AI tools designed to support human researchers in scientific and engineering tasks. The company's 30×30 mission targets a 30-fold increase in the speed, affordability, and accessibility of semiconductor and photonic hardware development by 2030. This vision drives efforts to reshape hardware design and simulation, moving research breakthroughs toward real-world products. Research Internship Overview This Research Internship centers on the intersection of AI, formal methods, and scientific reasoning. The role suits PhD candidates interested in advancing AI for science and engineering, especially those who want to build tools that verify scientific results. Interns will focus on research into automated verification of scientific reasoning. Projects may include developing AI agents for complex mathematical formalization, designing knowledge retrieval systems, and exploring both formal and informal verification workflows. What You Will Do Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants. Explore Lean metaprogramming or related formal methods tools for scientific applications. Create verification pipelines for complex equation derivations, connecting AI and physics. Work with researchers to define a focused project that advances internal capabilities and research understanding. Conduct scientific research suitable for publication at leading conferences (ICLR, ICML, NeurIPS) or contribute to major open source initiatives. Locations Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain

Join Klaviyo as a Senior AI Engineer and be a pivotal part of our innovative team, driving the future of AI technology in marketing automation. You will leverage your expertise to design, develop, and implement cutting-edge AI solutions that enhance our products and empower our clients.

Rebuild Manufacturing is building an AI-powered platform to improve hardware product development. The platform connects with tools that hardware teams already use, helping them track change requests and share important context. By coordinating across different disciplines, it keeps projects moving smoothly as requirements shift. Supported by a parent company with deep roots in engineering and manufacturing, the team is focused on closing communication gaps in hardware development. The goal: make sure every update and decision reaches the right people at the right time. Role overview The Senior AI Engineer will design and build the core AI agents that drive the platform. This work involves developing systems that can spot potential issues in hardware workflows, offer timely assistance, and help teams stay aligned as projects evolve. What you will do Create AI systems that integrate with existing engineering tools Develop features to coordinate change requests and share critical information Build solutions that help engineering teams anticipate and resolve workflow challenges Locations Greater Boston, MA Los Angeles, CA United States (other locations considered)