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Job Description Career Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job DescriptionForward Deployed Engineer Location: New York Employment Type: Full-Time, Permanent Work Arrangement: Onsite Company: Confidential High-Growth Technology Firm P.S. - The ideal candidate must have either current or recent experience of working as a Forward Deployed Engineer or Solutions Engineer in a series A, B, C, D startup firm. The Opportunity A confidential, high-growth technology company in New York is seeking an experienced Forward Deployed Engineer to lead customer-facing technical implementations and solve complex, real-world business challenges. This position is ideal for an engineer who combines strong software engineering expertise with excellent communication, problem-solving, and customer relationship skills. You will work directly with customers, understand their technical and operational needs, and develop scalable solutions that deliver measurable value. Key Responsibilities • Partner directly with customers to understand their business objectives, workflows, and technical requirements., • Design, build, deploy, and maintain customer-specific technical solutions., • Translate complex customer needs into practical and scalable engineering solutions., • Manage technical implementations from initial discovery through deployment and ongoing optimization., • Collaborate closely with engineering, product, sales, and customer success teams., • Integrate the company's platform with customers' systems, APIs, data sources, and infrastructure., • Troubleshoot technical issues and provide clear, timely solutions., • Communicate technical concepts effectively to both engineering and non-technical stakeholders., • Gather customer feedback and help influence the product and engineering roadmap., • Build reusable tools and processes that improve future customer deployments.Required Qualifications, • At least four years of relevant professional experience in software engineering, solutions engineering, forward-deployed engineering, or a related technical role., • At least two years of experience working in a customer-facing technical role within a top-tier technology, robotics, or healthcare IT startup., • Previous experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, Technical Solutions Engineer, or in a comparable position., • Bachelor's or master's degree in Computer Science or a closely related engineering discipline from a leading U.S. university., • Strong software engineering, systems integration, API, data, and debugging capabilities., • Demonstrated ability to work directly with customers and translate business requirements into technical solutions., • Excellent verbal and written communication skills., • Strong ownership, adaptability, and problem-solving abilities., • Ability to succeed in a fast-paced startup environment with changing priorities., • Must currently reside within commuting distance of New YorkPreferred Qualifications, • Experience supporting enterprise or technically sophisticated customers., • Experience deploying software into complex customer environments., • Familiarity with Python and modern backend technologies., • Experience with cloud infrastructure, databases, APIs, and system integrations., • Background in AI, robotics, healthcare technology, or other technically complex products., • Experience working cross-functionally with product, engineering, sales, and customer success teams.Important Requirements, • This position requires an onsite presence in New York, • Relocation assistance is not available., • Employment visa sponsorship or transfer is not available., • Candidates must already be authorized to work permanently in the United States without current or future sponsorship requirements.

Job Description Reinforcement Learning Engineer Job Title Reinforcement Learning Engineer Job Summary We are seeking a talented Reinforcement Learning (RL) Engineer to design, develop, and optimize intelligent agents capable of learning through interaction with complex environments. The ideal candidate will have strong expertise in machine learning, deep learning, reinforcement learning algorithms, and software engineering. You will collaborate with cross-functional teams to build scalable AI solutions for real-world applications. Key Responsibilities Design, implement, and evaluate reinforcement learning algorithms for complex decision-making problems. Develop and optimize RL models using state-of-the-art techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), Soft Actor-Critic (SAC), Advantage Actor-Critic (A2C/A3C), and Deep Deterministic Policy Gradient (DDPG). Build custom simulation environments and integrate with frameworks such as Gymnasium, Isaac Gym, or Unity ML-Agents. Train, validate, and fine-tune RL agents for performance, stability, and scalability. Work with large-scale datasets and distributed training infrastructure. Collaborate with data scientists, ML engineers, software developers, and product teams to deploy RL solutions into production. Monitor model performance, conduct experiments, and improve learning efficiency. Stay current with the latest research in reinforcement learning and AI. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related field. 3 years of experience in machine learning or AI development. Strong understanding of reinforcement learning concepts, including: Markov Decision Processes (MDPs) Value-based methods Policy Gradient methods Actor-Critic algorithms Model-based and model-free RL Exploration vs. exploitation strategies Proficiency in Python. Experience with deep learning frameworks such as PyTorch or TensorFlow. Hands-on experience with RL libraries such as Stable-Baselines3, RLlib, CleanRL, or Tianshou. Strong knowledge of probability, statistics, linear algebra, and optimization. Experience with Git, Docker, Linux, and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with REST APIs and software engineering best practices. Preferred Qualifications Experience with Large Language Models (LLMs), Agentic AI, or Multi-Agent Reinforcement Learning (MARL). Experience in robotics, autonomous systems, recommendation systems, gaming, finance, or operations research. Knowledge of distributed training frameworks such as Ray. Experience with CUDA or GPU optimization. Publications or open-source contributions in reinforcement learning or AI. Technical Skills Python PyTorch / TensorFlow Stable-Baselines3 RLlib Gymnasium Isaac Gym Unity ML-Agents NumPy Pandas Docker Kubernetes (preferred) Git SQL Linux AWS / Azure / Google Cloud Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in cross-functional teams. Strong research mindset with attention to detail. Passion for continuous learning and innovation. Nice to Have Experience with Generative AI and LLM fine-tuning. Knowledge of MLOps and CI/CD pipelines. Experience with reinforcement learning from human feedback (RLHF). Familiarity with vector databases and AI agent frameworks. Benefits Competitive salary and performance bonuses. Flexible work arrangements. Health and wellness benefits. Learning and certification opportunities. Access to high-performance GPU infrastructure. Collaborative and innovative work environment.

Job Description Edge AI Engineer Job Description Job Title Edge AI Engineer Location [City/Remote/Hybrid] Employment Type Full-time / Contract Job Summary We are seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The ideal candidate will have expertise in embedded systems, computer vision, deep learning, model optimization, and edge computing technologies. This role focuses on building low-latency, power-efficient AI applications for IoT devices, industrial automation, robotics, healthcare, automotive, and smart infrastructure. Key Responsibilities Design, develop, and deploy AI/ML models for edge devices and embedded systems. Optimize deep learning models for low-latency, memory-efficient, and power-efficient inference. Convert and deploy models using frameworks such as TensorFlow Lite, ONNX Runtime, TensorRT, and OpenVINO. Develop AI applications for computer vision, speech processing, sensor analytics, and real-time decision-making. Integrate AI models with embedded hardware, IoT devices, and edge computing platforms. Collaborate with hardware engineers, firmware developers, software engineers, and data scientists to deliver end-to-end edge AI solutions. Develop and optimize inference pipelines for GPUs, NPUs, TPUs, DSPs, and microcontrollers. Perform model benchmarking, profiling, quantization, pruning, and performance tuning. Implement secure model deployment, over-the-air (OTA) updates, and device lifecycle management. Build APIs and edge services for AI-enabled applications. Monitor deployed edge AI systems and continuously improve performance, reliability, and resource utilization. Stay current with advancements in edge computing, embedded AI, AI accelerators, and TinyML technologies. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, Embedded Systems, Electrical Engineering, Robotics, or a related field. 3 8 years of experience in AI/ML, embedded systems, edge computing, or software engineering. Strong proficiency in Python and C/C . Experience developing and deploying machine learning and deep learning models. Knowledge of embedded Linux, real-time operating systems (RTOS), and IoT architectures. Experience with model optimization and deployment frameworks. Familiarity with computer vision, signal processing, or sensor fusion applications. Strong understanding of software engineering principles, debugging, and performance optimization. Preferred Qualifications Experience with NVIDIA Jetson, Raspberry Pi, Qualcomm AI platforms, Client Movidius, Google Coral, or similar edge hardware. Knowledge of TinyML and microcontroller-based AI deployments. Experience with robotics, autonomous systems, or industrial automation. Familiarity with MLOps for edge deployments and fleet management. Experience with cloud-edge integration and edge orchestration platforms. Relevant AI, embedded systems, or cloud certifications. Technical Skills Python C/C Embedded Linux RTOS TensorFlow Lite TensorFlow PyTorch ONNX Runtime TensorRT OpenVINO OpenCV CUDA NVIDIA Jetson Raspberry Pi Google Coral Client Movidius Qualcomm AI SDK TinyML Edge Impulse MQTT Docker Kubernetes REST APIs Git CI/CD Computer Vision Deep Learning Model Quantization Model Pruning Edge Computing IoT Soft Skills Analytical thinking Problem-solving Cross-functional collaboration Communication Innovation Adaptability Time management Attention to detail Continuous learning Key Deliverables Production-ready edge AI applications Optimized AI models for embedded deployment Real-time inference pipelines Device integration and deployment solutions Performance benchmarking reports Technical documentation Secure deployment and update mechanisms Monitoring and maintenance plans Success Metrics AI inference latency and throughput Model accuracy after optimization Memory and power efficiency Successful deployment across target edge devices Device reliability and uptime Reduction in deployment and maintenance effort Compliance with security and quality standards Timely delivery of edge AI features and enhancements

Job Description Job Title: Industrial Automation Engineer Job Summary We are seeking an Industrial Automation Engineer to design, develop, implement, and maintain industrial automation systems that improve manufacturing efficiency, productivity, quality, and operational reliability. The ideal candidate will have expertise in PLC programming, SCADA, HMI, Distributed Control Systems (DCS), industrial robotics, Industrial IoT (IIoT), and AI-enabled automation technologies. This role collaborates with manufacturing, operations, electrical, mechanical, robotics, and software engineering teams to deliver safe, scalable, and intelligent automation solutions. Key Responsibilities Design, develop, and implement industrial automation solutions for manufacturing and process industries. Program, configure, and troubleshoot Programmable Logic Controllers (PLCs), Human-Machine Interfaces (HMIs), SCADA systems, and Distributed Control Systems (DCS). Develop automation logic for production lines, material handling systems, robotic cells, and process control applications. Integrate industrial robots, sensors, actuators, vision systems, and edge devices into automated production environments. Design and implement Industrial IoT (IIoT) solutions for real-time monitoring, predictive maintenance, and operational analytics. Develop interfaces between automation systems and Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and industrial databases. Configure industrial communication protocols such as OPC UA, Modbus, EtherNet/IP, PROFINET, PROFIBUS, CAN, and EtherCAT. Implement AI, machine learning, and computer vision solutions for quality inspection, predictive maintenance, anomaly detection, and process optimization. Perform Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), commissioning, validation, and startup support. Monitor automation system performance and implement continuous improvement initiatives. Troubleshoot hardware, software, networking, and control system issues. Prepare technical documentation, control narratives, electrical drawings, operating procedures, and maintenance documentation. Ensure compliance with industrial safety, cybersecurity, and regulatory standards. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, Mechatronics, Instrumentation, Automation Engineering, Computer Science, or a related field. 3 years of experience in industrial automation, control systems, or manufacturing automation. Experience programming PLCs such as Siemens, Allen-Bradley (Rockwell Automation), Schneider Electric, Mitsubishi Electric, Omron, or Beckhoff. Experience with SCADA platforms, HMI development, and industrial networking. Knowledge of industrial communication protocols and fieldbus technologies. Strong understanding of electrical control systems, sensors, actuators, motors, and drives. Experience with industrial robotics integration. Familiarity with Python, C#, or other programming languages for automation and integration. Experience with SQL databases and industrial reporting systems. Preferred Qualifications Experience implementing Industry 4.0 and Industrial IoT (IIoT) solutions. Experience integrating automation systems with MES, ERP, and cloud platforms. Knowledge of AI, machine learning, and computer vision for manufacturing applications. Experience with industrial vision systems and automated quality inspection. Familiarity with digital twins, edge computing, and predictive maintenance platforms. Knowledge of IEC 61131-3 programming standards and functional safety systems. Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Understanding of industrial cybersecurity standards such as IEC 62443. Technical Skills PLC Programming (Siemens TIA Portal, Rockwell Studio 5000, Schneider EcoStruxure, Mitsubishi GX Works, Omron Sysmac Studio, Beckhoff TwinCAT) SCADA (WinCC, Ignition, AVEVA/Wonderware, FactoryTalk View, Citect SCADA) HMI Development Distributed Control Systems (DCS) OPC UA Modbus EtherNet/IP PROFINET PROFIBUS EtherCAT CAN Bus SQL Python C# Industrial Robotics Machine Vision OpenCV (preferred) MQTT Docker (preferred) AWS / Azure / Google Cloud Platform (preferred) Soft Skills Strong analytical and troubleshooting skills Excellent communication and teamwork Attention to detail and commitment to quality Ability to work in multidisciplinary engineering environments Project planning and documentation skills Continuous improvement and innovation mindset Nice to Have Experience with collaborative robots (cobots) and autonomous mobile robots (AMRs) Knowledge of predictive maintenance, digital twins, and AI-driven manufacturing analytics Experience with edge AI devices and industrial gateways Familiarity with Lean Manufacturing, Six Sigma, and Operational Excellence methodologies Professional certifications in PLC programming, industrial automation, robotics, or cloud technologies Key Performance Indicators (KPIs) Production line availability and system uptime Automation system reliability and mean time to repair (MTTR) Reduction in production downtime and process variability Improvement in Overall Equipment Effectiveness (OEE) Reduction in quality defects and rework Successful deployment of automation and IIoT projects Energy efficiency and operational cost optimization Compliance with safety, quality, and cybersecurity standards Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor calibration that directly impact the growth and success of our business. As we expand, your role will evolve to meet new challenges and priorities. Key Responsibilities: • Lead SLAM development to improve product quality and consistency across diverse operating conditions, including GPS-degraded environments., • Enhance sensor fusion and calibration processes by integrating multi-user, multi-session point cloud maps and automating LiDAR and imagery alignment for consistent large-scale scene generation., • Drive scalability and reliability by eliminating the need for extrinsic sensor measurements in the field and proactively identifying and correcting data quality issues., • Collaborate closely with a mission-driven team of robotics and enterprise software experts to revolutionize fieldwork in the energy sector., • Develop and implement perception solutions, focusing on LiDAR, sensor fusion, and SLAM mapping for building accurate environmental maps. Required Experience & Qualifications: • 4+ years of experience in perception and mapping in robotics., • Proven background working with mobile platforms such as cars, drones, or robots performing large-scale mapping using LiDAR and other sensors., • Hands-on experience with systems integration—understanding how cameras, sensors, vehicles, and perception software work together., • Experience with SLAM solutions involving ground-based LiDAR and extensive sensor calibration (intrinsic and extrinsic), including automated data-driven techniques., • Proficiency in multimodal sensor fusion and working with ultra-wide-angle cameras., • Track record of succeeding on small, fast-moving engineering teams. Technical Skills: • Strong proficiency in C++ and Python., • Deep expertise in SLAM, sensor calibration, and sensor fusion techniques. Soft Skills: • Mission-first mindset focused on delivering strong customer and business outcomes., • Curiosity and adaptability with a willingness to learn and pivot as needed.

Job DescriptionAbout us We're solving AI's hardest problem: alignment. Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ teams at the cutting edge of AI, including Woven by Toyota, Hitachi, Skydio, AbbVie, Dyna, Walden, and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems. We're a team of former founders, scientists, quants, researchers, and even Olympians who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from early investors in companies like Databricks, ElevenLabs, and Vercel, and we’re growing at an extraordinary pace. We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI. The role We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them. As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap. What you'll do Design and build production software for complex data, ML, and application environments Own system design decisions for deployments, balancing correctness, scalability, performance, and speed Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution Build across the stack, from APIs and data workflows to backend systems and product-facing functionality Own deployments from technical scoping through implementation, rollout, and iteration Turn recurring customer problems into reusable tooling and product capabilities Debug complex production issues across reliability, performance, and data flow Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders Operate with high autonomy and own problems end to end Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows Who we're looking for A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production A versatile product engineer. You’re comfortable working across the stack and moving between hands-on engineering, product thinking, and conversations with the people using what you build Experience requirements 4+ years of software engineering experience with strong CS fundamentals Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows Strong system design judgment and experience making architecture decisions for complex software Strong coding skills in a modern language; Python is a plus Evidence of owning technical problems end to end, from design through production Strong product judgment, technical communication, and stakeholder management Experience working directly with users, customers, or external engineering teams is a plus Bonus: experience in a high-growth startup, developer platform, or ML/data product environment Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Clear, accelerated growth opportunities as the company scales rapidly Strong in-person culture: 4 days/week Daily team lunches & dinners Annual learning & development budget Comprehensive health, dental, and vision coverage US employees: 18 paid vacation days plus US public holidays UK employees: 25 paid vacation days plus UK public holidays Frequent travel opportunities across the U.S., London, and Europe Bi-annual company offsites & monthly socials Operating principles High agency You see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks. Build with care & urgency We bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here. Self-aware & hungry We stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long. Invent in real time We move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook. If you're looking to do the most meaningful work of your career alongside people who push you to be better, we'd love to meet you.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. Forward Deployed Engineers build our business within the context of a single customer at a time. They seek out valuable problems that hold our customers back. The problems we work on are multi-domain, affecting cashflow, production, safety, and the environment. A Forward Deployed Engineer doesn’t stop at finding problems, but goes on to create solutions and prove their value, owning the process from start to finish. Forward Deployed Engineers, by solving a specific version of the problem for a specific customer, also help to navigate Gecko’s platforms - Gecko’s tools that scale across customers. What you will do Solve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so. Technologies We Use Python, Javascript, React Google Cloud, Amazon Web Services About You Bachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. 3+ years of experience in a similar position. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Understanding of how technical decisions impact the user of what you’re building. Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages. Ability to work effectively in teams of technical and non-technical individuals. Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users. Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision. Willingness and interest to travel as needed. Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $140K - $245K

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. About the Role We’re looking for a Solutions Engineer, Power to lead customer deployments from kickoff through go-live. You will combine plant systems knowledge with hands-on software configuration, asset data validation, and customer coordination to ensure the platform accurately reflects each facility. Our software gives industrial operators an accurate operating picture of their facility. You will help customers trust and use it by ensuring each site is set up correctly, explaining the engineering reasoning behind configuration decisions, and training users. This role is based in our New York City or Pittsburgh office, with 25% to 50% travel to customer sites. What You Will Do Serve as the technical point of contact across a portfolio of customer sites, leading configuration, deployment, and user training. Ensure every deployment meets customer expectations and agreed product requirements. Define and track success metrics and support adoption. Resolve configuration and deployment issues, keeping customers informed and involving Engineering or the commercial team when appropriate. Deliver product demonstrations, user training, and structured feedback sessions. Launch new customer sites from kickoff through go-live, coordinating requirements, timelines, and risks while improving deployment playbooks. Configure the software and build and validate each site’s asset data against plant engineering documentation so the platform accurately reflects the facility. Apply and refine tagging conventions, naming standards, and asset data taxonomy, resolving inconsistencies so every site is built consistently. Test configurations and workflows across development and production environments, report software issues with clear reproduction steps, and verify deployment quality before customer milestones. Use plant systems knowledge to validate software outputs, investigate incorrect or misleading results, and explain the reasoning behind configuration choices. Turn field learnings into clear, prioritized feedback and serve as a resource on plant systems and operations for the software engineering team. About You / Required Skills 5+ years in industrial operations, maintenance, or plant systems work, including experience where data accuracy was non-negotiable. Fluency in reading engineering drawings and explaining system function, design intent, and operating considerations to guide accurate software configuration. Experience building or maintaining accuracy-critical plant data: CMMS or EAM master data (SAP PM, Maximo, JDE, or similar), DCS-to-historian tag mapping, loop-check or instrument index verification. Experience integrating large-scale industrial software: SCADA/HMI platforms, data historians, or plant information systems. Strong attention to detail when checking equipment tags, asset relationships, and software configurations against plant documentation. A thorough approach to investigating discrepancies, understanding their causes, and correcting them or involving the right team. Strong organization across multiple customer deployments, including tracking requirements, milestones, follow-ups, and risks through completion. Sound judgment when working with incomplete information, asking focused questions, and explaining the reasoning behind configuration decisions. Clear communication with plant operators, engineers, and corporate leaders, including knowing when to involve Engineering or the commercial team. Willingness to use AI tools to support daily work and verify their outputs for accuracy. Ability to travel 25% to 50% of the time to customer sites. Preferred Skills Background working directly with industrial customers through deployment, field service, applications engineering, account management, or technical training. Hands-on field experience in equipment maintenance, troubleshooting, or system walkdowns using P&IDs and electrical one-lines. Ability to write code or control logic and explain how components interact within complex systems and where problems can arise. Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $225K - $290K

Job Description Job Title: Robotics Engineer Job Summary We are seeking a Robotics Engineer to design, develop, and deploy intelligent robotic systems that combine mechanical design, embedded systems, artificial intelligence, computer vision, and autonomous navigation. The ideal candidate will develop software and algorithms for robot perception, motion planning, localization, control, and human-robot interaction while collaborating with cross-functional engineering teams to deliver reliable, scalable, and production-ready robotic solutions. Key Responsibilities Design, develop, test, and deploy robotic systems for industrial, commercial, healthcare, logistics, and research applications. Develop robot software for perception, localization, mapping, navigation, motion planning, and control. Implement AI, machine learning, and computer vision algorithms to improve robot autonomy and decision-making. Develop sensor fusion solutions using cameras, LiDAR, radar, IMUs, GPS, ultrasonic sensors, and encoders. Design and optimize robot kinematics, dynamics, path planning, and obstacle avoidance algorithms. Build applications using ROS/ROS2 and integrate robotic hardware with software components. Develop and validate robotic solutions in simulation environments before deployment. Integrate robotic systems with cloud platforms, IoT devices, and enterprise applications where required. Optimize robotic applications for real-time performance, reliability, and safety. Perform system testing, debugging, calibration, and field validation. Prepare technical documentation, operating procedures, and maintenance guidelines. Stay current with advancements in robotics, AI, autonomous systems, and edge computing technologies. Required Qualifications Bachelor's or Master's degree in Robotics Engineering, Computer Science, Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field. 3 years of experience in robotics software development or robotic system engineering. Strong programming skills in Python and C . Experience with ROS or ROS2. Solid understanding of robotics fundamentals, including kinematics, dynamics, control systems, and motion planning. Experience with Linux development environments and Git version control. Knowledge of embedded systems and real-time software development. Familiarity with Docker and containerized application deployment. Experience integrating robotic hardware, sensors, and actuators. Preferred Qualifications Experience with Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), robotic arms, collaborative robots (cobots), or humanoid robots. Experience with computer vision using OpenCV, PyTorch, TensorFlow, or YOLO. Knowledge of Simultaneous Localization and Mapping (SLAM), sensor fusion, and autonomous navigation. Experience using simulation platforms such as Gazebo, Webots, NVIDIA Isaac Sim, or Unity. Experience with NVIDIA Jetson, edge AI devices, or embedded GPU platforms. Familiarity with reinforcement learning for robotic control. Experience with cloud robotics, fleet management, or remote robot monitoring. Understanding of robotic safety standards and functional safety principles. Technical Skills Python C ROS / ROS2 Linux Git Docker OpenCV PyTorch TensorFlow YOLO SLAM Gazebo Webots NVIDIA Isaac Sim NVIDIA Jetson CUDA MQTT REST APIs SQL Kubernetes (preferred) AWS / Azure / Google Cloud Platform (preferred) Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Attention to detail and engineering discipline Ability to work in multidisciplinary teams Innovation and continuous learning mindset Strong debugging and troubleshooting capabilities Nice to Have Experience with robotic manipulators, robotic vision, and grasp planning Knowledge of reinforcement learning and imitation learning for robotics Experience with industrial communication protocols such as CAN, EtherCAT, Modbus, or OPC UA Familiarity with digital twins and robotic simulation environments Experience with edge AI optimization, model quantization, and real-time inference Robotics, ROS, cloud, or AI-related certifications Key Performance Indicators (KPIs) Robot autonomy and navigation accuracy System reliability and operational uptime Motion planning and task execution success rate Perception and object detection accuracy Deployment success and production stability Reduction in system failures and maintenance issues Performance improvements in latency, throughput, and resource utilization Timely delivery of robotics projects and feature enhancements Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Join ProMach and shine. Whether you're creative, strategic, persuasive, or mechanically inclined, there’s a place for you here. Be a problem-solver, a closer, a futurist - whatever drives you. At ProMach, you'll be challenged and rewarded as you help improve packaging performance and shape the future of automation. And we’ll be proud to have you on the journey. Do we have your attention? Keep reading. Quest Industrial, with production locations in Middleton and Monroe, WI, is looking for a talented Field Service Engineer. In this role, you’ll support the installation, maintenance, and repair of industrial automated equipment. You’ll showcase your strong robotics, controls, and customer advisor skillset to solve complex challenges for our customers. Are you excited about this work? • Travel to customers’ facilities to install, maintain, troubleshoot, and repair complex machinery and equipment., • Train customers’ operators and technicians on machine setup, operation, change-over, and maintenance., • Provide technical support and assistance to customers via phone, remote connection, or on-site for electrical/controls, mechanical, and robotic equipment and systems., • Modify and troubleshoot Allen Bradley PLC and HMI programs for existing packaging equipment., • Commission, test, and debug robotic and automated packaging systems., • Provide on-call emergency service and maintain communication while in the field., • Prepare detailed trip reports for the company and customers, documenting encountered issues and solutions. Maintain records of service calls, training, expenses., • Ensure compliance with inspection, testing, quality specifications during machine installations and integrations., • Identify and correct hardware and software discrepancies in machinery and equipment., • Maintain positive customer relationships and identify opportunities for product improvements and parts sales., • Work from complex engineering drawings, specifications, and manuals to perform mechanical and electrical tasks., • Collaborate with other departments, such as Engineering, Sales, and Operations to address inquiries and provide technical support as needed., • Study technical manuals and attend training sessions to maintain current knowledge., • Support manufacturing when required and help perform and conclude both Pre-FAT and FAT. If this sounds like you, we want to connect! • Familiarity with Rockwell Automation programming software with the ability to connect to Allen Bradley PLC’s and HMI’s for troubleshooting and some coding., • Proficiency troubleshooting electrical circuits, I/O devices, VFD’s, servo motors and various industrial networks., • Experience with robotic applications including programming and vision (Fanuc preferred)., • Hands-on experience working with industrial automation equipment., • Ability to work independently as well as in a team environment., • Ability to work in Microsoft Office products (Word, Excel, Outlook), • Understand and markup electrical schematics and read 2D, 3D AutoCad mechanical assembly drawings., • A minimum Bachelor’s degree with emphasis in Electrical Engineering, Industrial Maintenance, Industrial Automation, Mechatronics or Robotic Programming., • Strong customer service skills and the desire to work., • PLC programming, HMI development and troubleshooting skills., • General understanding of automation; including but not limited to: high-speed assembly machinery, SCADA / Gantry / Six-Axis Robotics, FANUC robots and general automation technology., • Knowledge of AutoCAD electrical is a plus., • Familiarity with Ladder Logic, Studio 5000 and Factory Talk are a plus., • Willingness to travel up to 95 percent. What’s in it for you? There's no monopoly on innovative ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career. In addition to growth opportunities, as a ProMach employee, you receive more than just a paycheck. Total compensation includes your salary, comprehensive medical/dental programs, as well as life insurance, a generous paid time off program, and a retirement savings plan with a company match. And because we understand the importance of feeling protected, there is no waiting period for benefits – you are eligible on your first day of employment! Please note that the pay ranges listed on external job boards, outside our posting details, do not accurately reflect our internal compensation ranges. Pro Mach, Inc. was named to the Inc. 5,000 list of the fastest growing private companies in the U.S. seven times. We continue to introduce innovative products, enter new markets, expand our global presence, and actively acquire new capabilities. We have the rewards, opportunities, and the market strength of a large organization combined with the entrepreneurial culture of a small, fast-paced company. You will enjoy the benefits of working with a growing company that competes globally, with the personal touch and feel of a smaller company where you can make an impact every day. ProMach is an Equal Opportunity Employer. Pro Mach uses E-Verify to verify employment eligibility of all new hires to work in the United States. Pro Mach is a drug-free workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Pay Range: $40.00 - $52.00 per hour. #QUEST #INQUE #ZRQUE

Job Description Applied Physics is seeking a talented Electromechanical Engineer to join our team. As an Electromechanical Engineer at Applied Physics, you will work on a variety of exciting and challenging projects in fields ranging from energy storage to space exploration. Responsibilities: • Design and develop electromechanical systems from concept to production, • Conduct feasibility studies, simulations, and prototyping, • Collaborate with cross-functional teams to integrate electromechanical systems into larger products, • Develop and conduct tests and analyze data to ensure product reliability and performance, • Identify and troubleshoot problems during the product development phase, • Maintain and improve existing electromechanical systems Requirements • Bachelor's or Master's degree in Electrical Engineering or a related field, • At least 3 years of experience in electromechanical design and development, • Proficient in CAD software such as SolidWorks, AutoCAD, or equivalent, • Familiarity with electrical and mechanical components such as motors, sensors, controllers, and actuators, • Strong problem-solving and analytical skills, • Excellent communication and collaboration skills Additional Requirements: • Experience with PCB design and assembly is a plus, • Experience with mechatronics or robotics is a plus, • Familiarity with international standards and regulations for electromechanical systems is a plus, • Experience in a startup or entrepreneurial environment is a plus Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Sensor Verification & Characterization Engineer (LiDAR) About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. About the role We're looking for a Sensor Verification & Characterization Engineer to join our Systems Team, reporting to the System Integration Lead. This role spans the full arc of sensor development: running early derisk experiments that shape specifications and validate our models; building verification benches for new subsystems; and characterizing full systems as they mature toward production. You'll work across multiple active programs, pushing our platform further down the product lifecycle while standing up verification for brand-new subsystems. What You'll Do: Design and execute verification and characterization tests for full sensor systems and subsystems, ensuring designs meet performance requirements and building a clear picture of system behavior across operating conditions. Plan and run rapid derisk experiments for new technologies and subsystems to inform specifications and architecture decisions, often before formal requirements exist. Correlate measurements against simulation and analytical models, feeding results back to design and modeling teams to improve predictive accuracy. Troubleshoot and debug system-level and subsystem-level issues, applying strong systems-engineering and first-principles physics reasoning to isolate root cause. Generate clear test reports and well-formed hypotheses to share findings and drive decisions with the broader engineering team, including recommendations on specification limits and design tradeoffs. Build, maintain, and automate test benches and lab equipment to support repeatable, efficient verification. Adapt quickly to changing requirements, shifting priorities, and new problems as our programs evolve. Bring creativity to solving design challenges under real-world constraints. Collaborate closely with hardware, photonics, optics, firmware, and controls engineers throughout the system lifecycle, from bring-up through production support. What We're Looking For BS in Electrical Engineering, Physics, or a related field (MS or PhD a plus). 4+ years of hands-on experience in system or sensor test, verification, characterization, or early-stage technology derisking - though we're open to exceptional candidates at other experience levels who show strong potential and the right attitude. Hands-on experience with lab equipment (oscilloscopes, power supplies, function generators, spectrum analyzers, logic analyzers) and demonstrated experience automating test equipment. Proficiency in Python for test automation and data analysis. Experience designing experiments under uncertainty: choosing what to measure, estimating measurement uncertainty, and drawing defensible conclusions from limited data. Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems. Excellent written and verbal communication skills — able to turn raw data and observations into clear reports and actionable hypotheses. A self-starter who can thrive with minimal formal process, and is comfortable defining and communicating structure where it doesn't yet exist. Comfortable moving between quick-turn exploratory experiments and disciplined, repeatable verification. Enthusiasm for tackling new and unexpected problems, and the flexibility to pivot as priorities shift. Must be able to work on-site. Nice to Have Experience with FMCW LiDAR, radar, or other optical/photonic sensing systems. Experience working alongside modeling or simulation teams to validate and refine physical models. Experience automating motorized stages, gimbals, or other opto-mechanical test setups. Familiarity with C/C++ for embedded or test applications. Life at Voyant We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $120K - $160K

Job Description Job Title Robotics Software Engineer Experience 2 8 Years (Depending on the role and specialization) Job Summary We are seeking a Robotics Software Engineer to design, develop, test, and deploy software for robotic systems. The ideal candidate will have experience in robotics programming, motion planning, sensor integration, computer vision, and real-time control systems. The role involves working closely with mechanical, electrical, AI, and embedded engineering teams to develop reliable and scalable robotic solutions. Key Responsibilities • Design and develop software for robotic systems and autonomous platforms., • Develop algorithms for robot perception, localization, mapping, and navigation., • Integrate sensors such as LiDAR, cameras, IMUs, GPS, ultrasonic sensors, and encoders., • Develop robot control software for motion planning and path optimization., • Build and maintain software using the Robot Operating System (ROS/ROS2)., • Implement and optimize computer vision and AI-based robotic applications., • Test, debug, and validate robotic systems in simulation and real-world environments., • Collaborate with hardware engineers for actuator and sensor integration., • Develop reusable software libraries and APIs., • Create technical documentation and maintain code repositories., • Troubleshoot field issues and improve system reliability. Required Technical Skills Programming Languages, • C, • Python, • C, • MATLAB (preferred) Robotics Frameworks, • ROS (Robot Operating System), • ROS2, • Gazebo, • MoveIt, • OpenCV, • TensorFlow or PyTorch (for AI-enabled robotics) Robotics Concepts, • Kinematics, • Dynamics, • Motion Planning, • Path Planning, • Robot Control Systems, • Localization, • SLAM (Simultaneous Localization and Mapping), • Navigation Algorithms Embedded Systems, • Embedded Linux, • Real-Time Operating Systems (RTOS), • Microcontrollers (STM32, Arduino, ESP32), • CAN Bus, • UART, • SPI, • I2C Sensors & Hardware, • LiDAR, • RGB/RGB-D Cameras, • IMU, • GPS, • Ultrasonic Sensors, • Wheel Encoders, • Servo and Stepper Motors Computer Vision & AI, • Object Detection, • Image Processing, • Pose Estimation, • Machine Learning, • Deep Learning, • Sensor Fusion Simulation Tools, • Gazebo, • RViz, • Webots, • CoppeliaSim (V-REP), • MATLAB/Simulink Version Control & DevOps, • Git, • GitHub, • GitLab, • Docker, • CI/CD Pipelines Preferred Skills, • Autonomous Mobile Robots (AMRs), • Autonomous Guided Vehicles (AGVs), • Industrial Robotics, • Drone Software Development, • Reinforcement Learning, • Edge AI, • NVIDIA Jetson, • NVIDIA Isaac SDK, • Cloud Robotics, • Linux system programming Daily Responsibilities, • Develop and test robotics software modules., • Integrate and calibrate sensors., • Debug robot navigation and localization issues., • Optimize robot performance and safety., • Run simulations before hardware deployment., • Collaborate with multidisciplinary engineering teams., • Participate in design reviews and sprint planning., • Document software architecture and test results. Soft Skills, • Strong analytical and problem-solving skills, • Effective communication, • Team collaboration, • Innovation and creativity, • Attention to detail, • Adaptability, • Time management, • Continuous learning mindset Education, • Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field. Preferred Certifications, • ROS Developer Certification, • NVIDIA Deep Learning Institute Certifications, • AWS Certified Machine Learning (preferred), • Embedded Systems Certifications, • AI/ML Certifications Tools & Technologies, • ROS / ROS2, • Gazebo, • RViz, • MoveIt, • OpenCV, • Python, • C, • Linux (Ubuntu), • Docker, • Git, • MATLAB, • TensorFlow, • PyTorch, • NVIDIA Jetson, • Visual Studio Code, • CMake KPIs, • Software reliability and stability, • Robot navigation accuracy, • Localization and mapping performance, • Sensor integration success rate, • Defect density, • Test coverage, • Code quality and maintainability, • Deployment success rate Typical Interview Topics, • ROS architecture (nodes, topics, services, actions), • Robot kinematics and dynamics, • SLAM algorithms, • Path planning (A*, Dijkstra, RRT), • PID control and feedback systems, • Sensor fusion (Kalman Filter, Extended Kalman Filter), • Computer vision using OpenCV, • C memory management, • Python for robotics, • Embedded Linux and RTOS concepts, • Motion planning with MoveIt, • Docker and CI/CD for robotics, • Real-time programming, • Autonomous navigation challenges, • Debugging robotic systems

Job Description Embedded Firmware Engineer, Hardware Bring-up & Controls About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. The Role: We're hiring an embedded software engineer to bring up our new boards quickly and own the drivers and control firmware that run on them. You care how an algorithm is implemented in firmware, but you're just as comfortable with the schematic open, a probe on the board and the soldering iron warm. About half your time goes to board bring-up, changing the firmware and the board together until everything comes up; the other half goes to implementing control loops and proving they work on hardware. We are a collaborative, close knit team who love to solve complex problems and building robust systems. If you enjoy the challenge of working with frontier hardware, bringing up both brand new boards and cutting-edge control loops, we are excited to talk to you. Your impact: Code is cheaper to write than ever. Knowing what should be written, and what "done" means, is the job. A board is done when it works, not when the firmware compiles; a loop is done when it meets its requirements on hardware, not when the simulation looks good. We want someone with strong, well-reasoned opinions about how control algorithms and drivers should be implemented in firmware, and how to prove they work, who argues for them, and who changes their mind when the evidence says so. A few strong opinions the team holds: Fix it at the source. A bug gets fixed where it lives, even when that's someone else's code. The friction of working in each other's areas is worth it. Live at the tip. Every repo tracks the latest of everything it depends on. Small, frequent bumps surface breaks while they're still cheap to fix. Duplicated code is broken code. Two copies drift apart, and then one of them is wrong. It doesn't work until someone else has run it on hardware. Your own simulation or bench is where you start, not where you're done. Disagree with one? Tell us why when you apply. What You'll Do Implement control algorithms in real-time embedded C++: discretization, sample-rate and latency budgets, anti-windup, saturation handling, and numerical robustness in fixed and floating point. Push back with measured data when the plant doesn't match the model. Write the drivers and firmware structure each new board needs, and keep them clean enough that the next board reuses them. Bring up each new board by changing the firmware and the board together: read the schematic and datasheets, probe signals, debug SPI, I2C, UART and custom chip interfaces, and make small SMT reworks when the board needs one. Prove it works: build the test setups and Python analysis that show each driver and loop meets its requirements on hardware, from single PID loops to tuning many switch elements across a large optical network. Feed what bring-up finds back to the hardware team so the next board revision comes up faster. What We're Looking For BS in computer engineering, computer science or a related field, with 2+ years of embedded software experience in a professional environment. C or C++ on microcontrollers (ARM Cortex-M, STM32 or similar), bare-metal or RTOS. Our codebase is C++, but strong embedded C engineers are encouraged to apply. Working control theory: PID, loop shaping and stability margins, and state-space design, and a feel for what each costs in firmware. Board bring-up from the firmware side: schematics, datasheets, scopes and logic analyzers, and small reworks like swapping passives etc. Python for test automation and data analysis. Nice to Have Measuring plant response and system identification on real hardware MIMO and decoupling, observers, PLLs and tracking loops, or online optimization (e.g. extremum seeking) of multi-channel systems Lab automation: scripting scopes, supplies and generators (SCPI/VISA) Debugging across an FPGA or ASIC boundary Thermal, motor/actuator or optical systems What You'll Gain Ownership of how our firmware is built and how our boards come up, from first power-on to shipping: real decisions, not someone else's checklist. Close collaboration with the whole engineering org including hardware, optics, signal processing and firmware engineers, and real influence over technical direction at an early-stage company. Mentorship from leadership who have experience deploying billions of dollars of hardware to customers around the world. Equity in an early stage start up Life at Voyant We build frontier hardware from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. How to Apply No cover letter needed. If you find yourself starting one anyway, write a few sentences on one of these instead: What's an opinion you hold about how algorithms or drivers should be implemented in firmware, or how to prove they work, and when did evidence last change your mind? What's something you built just because you wanted to? Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $140K - $170K

Job Description Computer Vision Engineer Job Title Computer Vision Engineer Job Summary We are seeking a skilled Computer Vision Engineer to develop, optimize, and deploy computer vision and deep learning solutions for real-world applications. The ideal candidate will have experience in image processing, object detection, image segmentation, video analytics, and deep learning. You will collaborate with AI researchers, software engineers, and product teams to build scalable computer vision systems for production environments. Key Responsibilities Design, develop, and deploy computer vision models for image and video analysis. Build and optimize deep learning models for object detection, image classification, segmentation, tracking, OCR, pose estimation, and anomaly detection. Develop data preprocessing, annotation, augmentation, and model training pipelines. Fine-tune and optimize CNNs, Vision Transformers (ViTs), and foundation models for domain-specific applications. Evaluate model performance using standard computer vision metrics such as mAP, IoU, Precision, Recall, and F1-score. Optimize models for inference using ONNX, TensorRT, OpenVINO, or similar optimization frameworks. Integrate computer vision models into production applications through APIs and edge devices. Collaborate with data scientists, AI researchers, backend developers, and DevOps teams to deploy AI solutions. Conduct experiments, benchmark models, and improve accuracy, latency, and scalability. Stay current with advancements in computer vision, multimodal AI, and deep learning. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Robotics, Electrical Engineering, or a related field. 2 5 years of experience in computer vision or deep learning development. Strong understanding of image processing, computer vision algorithms, and deep learning fundamentals. Proficiency in Python. Experience with PyTorch or TensorFlow. Hands-on experience with OpenCV and computer vision libraries. Familiarity with object detection models such as YOLO, Faster R-CNN, SSD, or RetinaNet. Experience with image segmentation models such as U-Net, DeepLab, Mask R-CNN, or Segment Anything (SAM). Knowledge of Git, Docker, Linux, and software development best practices. Preferred Qualifications Experience with Vision Transformers (ViTs), CLIP, DINOv2, Grounding DINO, Florence, or multimodal vision-language models. Familiarity with Detectron2, MMDetection, OpenMMLab, or Ultralytics YOLO. Experience with OCR, document AI, medical imaging, satellite imagery, robotics, or autonomous systems. Knowledge of CUDA, TensorRT, ONNX Runtime, OpenVINO, or GPU optimization. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with MLOps tools such as MLflow, Kubeflow, or Docker-based deployment. Technical Skills Python PyTorch / TensorFlow OpenCV NumPy Pandas Scikit-learn Ultralytics YOLO Detectron2 MMDetection Hugging Face Transformers CUDA ONNX TensorRT Docker Git Linux SQL AWS / Azure / Google Cloud Soft Skills Strong analytical and problem-solving skills. Excellent debugging and optimization abilities. Effective communication and collaboration skills. Attention to detail and commitment to delivering high-quality AI solutions. Ability to work in Agile and cross-functional environments. Nice to Have Experience with multimodal AI and vision-language models. Knowledge of Generative AI and Large Language Models (LLMs). Familiarity with edge AI deployment on NVIDIA Jetson, Raspberry Pi, or mobile devices. Experience with synthetic data generation and simulation environments. Contributions to open-source computer vision projects or published research. Benefits Competitive salary and performance-based incentives. Comprehensive health and wellness benefits. Flexible or hybrid work arrangements. Learning, certification, and conference sponsorship opportunities. Access to modern GPU infrastructure and AI development tools. Opportunity to work on cutting-edge computer vision and AI solutions in a collaborative environment.

Job DescriptionRole Summary The Systems Engineer for the Mechatronic group serves as a technical specialist; provides expertise to support the development of new product ideas, concepts, and product improvements; ensures the designs are consistent with the organization objectives; and acts as the interface between Product Management, Solution/System Architects, Mechanical, Electrical, and Software Developers for transforming the defined stakeholder requirements into a set of system/subsystem requirements that will guide the design of the solution. Key Responsibilities • Lead collaboration with internal and external stakeholders to gather and track goals and KPIs., • Translate product goals into comprehensive system and subsystem requirements., • Generate and maintain interface control documents for subsystem and vehicle interactions., • Specify functional and non-functional requirements in detailed subsystem specification documents., • Support analyzing impact when there are changes to stakeholder requirements., • Assist Safety Engineers in analyzing systems/subsystems to mitigate risk exposure., • Ensure safety goals, requirements, and methodologies are integrated into product designs., • Evaluate new requests and provide accurate estimates for new features and functions., • Participate in conceptual design and documentation processes., • Lead design reviews to ensure traceability and compliance., • Review and approve test plans and procedures for alignment with requirements., • Contribute to business development through proposal inputs and customer meetings.Required Skills, • Bachelor's degree in Computer Science, Engineering, or related field., • 4–7 years of direct experience in requirements elicitation and generation., • Proven track record in product development lifecycle for complex systems/subsystems., • Experience in autonomous systems, robotics, or related fields highly desirable., • Proficient in Agile or Scrum methodologies., • Strong understanding of design principles, hardware development, and requirement management tools., • Excellent problem-solving and leadership skills; strong communication abilities., • Experience with requirement management tools such as IBM Doors, Jama Connect, Polarion, or other requirement management software., • Experience with safety analysis such as HARAs, STPAs, FMEAs, and others., • INCOSE SEP certification or CPRE certification preferred.Physical Requirements, • Ability to remain in a stationary position at a computer workstation constantly throughout the workday., • Ability to constantly operate a computer and other office productivity machinery., • Ability to effectively complete job responsibilities on computer monitors., • Ability to effectively communicate and exchange information in person, via phone, and through other electronic means., • Able to traverse an office environment.

Job DescriptionRole Name: Systems Engineer – Mechatronics I–III Work Location: DFW, Texas (Onsite) Role Summary The Systems Engineer within the Mechatronics group will serve as a technical specialist, providing expertise to support the development of new product ideas, concepts, and product improvements. This role ensures that designs remain aligned with organizational objectives and serves as the interface between Product Management, Solution/System Architects, Mechanical Engineers, Electrical Engineers, and Software Developers. The Systems Engineer will help transform defined stakeholder requirements into system and subsystem requirements that guide the overall solution design. Key Responsibilities: • Lead collaboration with internal and external stakeholders to gather, define, and track goals and KPIs., • Translate product goals into comprehensive system and subsystem requirements., • Generate and maintain Interface Control Documents (ICDs) for subsystem and vehicle interactions., • Define functional and non-functional requirements in detailed subsystem specification documents., • Analyze the impact of changes to stakeholder requirements., • Assist Safety Engineers with system and subsystem analysis to mitigate risk exposure., • Ensure safety goals, requirements, and methodologies are incorporated into product designs., • Evaluate new requests and provide accurate estimates for new features and functionality., • Participate in conceptual design and documentation activities., • Lead design reviews to ensure requirements traceability and compliance., • Review and approve test plans and procedures to ensure alignment with system requirements., • Contribute to business development activities through proposal inputs and customer meetings.Required Skills and Qualifications:, • Bachelor’s degree in Computer Science, Engineering, or a related field., • 4–7 years of direct experience in requirements elicitation, analysis, and generation., • Proven experience working throughout the product development lifecycle for complex systems and subsystems., • Experience with autonomous systems, robotics, or related technologies is highly desirable., • Proficiency with Agile and/or Scrum methodologies., • Strong understanding of engineering design principles, hardware development, and requirements management., • Excellent problem-solving, leadership, and communication skills., • Hands-on experience with requirements management tools such as:, • IBM DOORS, • Jama Connect, • Polarion, • Other comparable requirements management tools, • Experience performing safety analyses such as:, • HARA, • STPA, • FMEA, • Other applicable safety analysis methodologies, • INCOSE SEP certification or CPRE certification is preferred.Physical Requirements, • Ability to remain in a stationary position at a computer workstation throughout the workday., • Ability to operate a computer and other office productivity equipment., • Ability to effectively perform job responsibilities using computer monitors., • Ability to communicate and exchange information effectively in person, by phone, and through electronic communication., • Ability to move throughout an office environment as required. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

Job Description Silicon Photonics Systems Test Engineer – Optical Circuit Switches (OCS) About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. About the role We're looking for a Silicon Photonics Systems Test Engineer to join our Systems Team, reporting to the System Integration Lead. You'll be one of the first hands-on engineers on the OCS program, taking it from early technical derisk through proof of concept. Our architecture and models are well developed; your job is to put them to the test. You'll stand up the first OCS test benches, characterize early chips and prototypes, find where hardware and models disagree, and turn those findings into decisions. What You'll Do: Plan and run rapid derisk experiments on early SiPh test chips and subsystems to validate key architectural assumptions. Characterize optical performance across switch paths, including insertion loss, crosstalk, extinction ratio, polarization and wavelength dependence, and switching time. Correlate measurements against device, circuit, and system models, and feed discrepancies back to design and modeling with clear physical explanations. Identify and measure the indicators that predict how performance will scale with port count, such as per-element variation, neighbor crosstalk, and calibration effort per port. Design, build, and automate OCS test benches from the ground up, with test approaches that can scale as port counts grow. Generate clear test reports and well-formed hypotheses that drive design decisions and inform specification limits. Collaborate closely with photonics design, modeling, controls, electronics, and firmware engineers, and with peers on our LiDAR program. Move fluidly between quick-turn exploratory experiments and disciplined, repeatable characterization. What We're Looking For BS in Electrical Engineering, Physics, Optics, or a related field (MS or PhD a plus). 4+ years of hands-on experience in photonic or optical test, characterization, or early-stage technology derisking, though we're open to exceptional candidates at other experience levels who show strong potential and the right attitude. Hands-on experience with optical lab equipment (tunable lasers, optical power meters, optical spectrum analyzers, polarization controllers) and fiber handling and coupling, plus standard electrical equipment. Demonstrated experience automating test equipment and analyzing large datasets. Proficiency in Python for test automation and data analysis. Comfort working closely with models: understanding the assumptions behind a loss budget or circuit simulation, designing experiments to test them, and explaining discrepancies in physical terms. Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems. Excellent written and verbal communication skills, able to turn raw data into clear reports and actionable hypotheses. A self-starter who thrives with minimal formal process, and is comfortable defining structure where it doesn't yet exist. Must be able to work on-site. Nice to Have Experience testing silicon photonic integrated circuits, optical switches, or datacom/telecom optical modules. Familiarity with photonic simulation tools (e.g., Lumerical or similar). Experience with wafer- or die-level probing and high-channel-count test setups. Experience automating motorized stages or fiber alignment systems. Life at Voyant We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $120K - $160K

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference. In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides. You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem. You will spend most of your time building and then sharing what you build. What You'll Be Working On: Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals. Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as the ecosystem changes. Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe. Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips. Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted technical voice in the agent and open-source community. Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals. Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized. Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops. What You'll Bring to the Team: Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python. A Developer Relations title is not required. Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers. Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK. You have well-formed opinions about what works and what breaks in production. Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts. Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly. Public Track Record: Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms. Please include links when you apply. Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks. Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment. Travel Requirement: Ability to travel up to 20%. Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience. Bonus Points Maintainer or significant contributor to an open-source AI, agent, or inference project Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA) An existing technical audience that trusts your views on models, agents, and tooling Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $180,000-$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Title: Field Service Controls Engineer Job Type: Full-Time Travel Requirement: Up to 90% We are seeking a highly motivated Field Service Controls Engineer to become an integral part of our team. In this dynamic, hands-on role, you will deliver premier controls engineering solutions across diverse industrial automation sectors, including Automotive, Defense, Food Preparation, Entertainment, Pharmaceutical, and Aerospace. This position is ideal for a proactive problem-solver who thrives in fast-paced environments and enjoys traveling to client sites to bring complex automated systems to life. Key Responsibilities • System Start-Up & Debugging: Lead the installation, commissioning, and debugging of new industrial automation and control systems at client facilities., • Troubleshooting & Optimization: Diagnose and resolve complex electrical, software, and mechanical issues on existing automation systems to minimize downtime., • Production Support: Provide direct, hands-on support during production runs to ensure maximum operational efficiency and equipment reliability., • Systems Integration: Implement, integrate, and manage Factory Information Systems (FIS) and Vehicle Scheduling Systems (VSS)., • Client Collaboration: Act as the primary technical point of contact on-site, communicating effectively with facility management, operators, and cross-functional engineering teams. Qualifications & Skills • Experience: Proven professional experience in controls engineering and industrial automation., • Technical Knowledge: Experience with PLC programming, HMI development, and industrial networks. Siemens experience is highly preferred, though not strictly required., • Analytical Ability: Strong problem-solving and critical thinking skills, with the ability to assess complex systems and implement rapid, effective solutions., • Work Ethic: A self-starting, autonomous mindset with the discipline to manage field tasks independently while remaining a strong collaborative team player., • Communication: Excellent interpersonal and communication skills, essential for training operators, reporting to stakeholders, and representing the company professionally on-site. Travel Requirements • High Travel: This is a field-based role requiring up to 95% travel from home. Candidates must possess a valid driver’s license, be comfortable with heavy domestic (and potentially international) travel, and adapt quickly to varying industrial environments. Home Every 2-3 weeks. \nCompany Description R&E Automated Systems (www.reautomated.com) is the industry leader in Automotive Controls, Robotics, Joining, and Plant Maintenance. In addition, Engineering Services, including Mechanical, Quality, Simulation, and Service Part Stamping, Assembly, and Coating. R&E Automated Systems (www.reautomated.com) is the industry leader in Automotive Controls, Robotics, Joining, and Plant Maintenance. In addition, Engineering Services, including Mechanical, Quality, Simulation, and Service Part Stamping, Assembly, and Coating.

Job Description Palona is building AI for the physical world, starting with restaurants. Understanding a busy restaurant means making sense of people, objects, activities, and events as they change over time, despite occlusion, changing lighting, varied camera views, and incomplete information. We are looking for an AI Research Engineer with a strong research background in computer vision and vision-language models (VLMs) to develop the visual intelligence behind Palona’s products. You will work on image and video understanding, spatiotemporal reasoning, and multimodal models that connect visual observations to useful insights and actions in real restaurant environments. This role combines research depth with ownership of working systems. You will formulate research questions, build datasets, train and evaluate models, and partner with product and engineering to bring successful approaches into production. Researchers and engineers from autonomous driving, robotics, embodied AI, and related perception fields are especially encouraged to apply. What you’ll own • Develop computer vision and VLM approaches for scene understanding, object detection and tracking, activity recognition, and understanding events across video., • Adapt, fine-tune, and evaluate vision and vision-language models for visual grounding, temporal reasoning, and structured prediction grounded in observable evidence., • Design training and adaptation strategies, including supervised fine-tuning, representation learning, distillation, and domain adaptation, based on measurable product needs., • Build representative image and video datasets, annotation workflows, and evaluation sets that capture difficult edge cases while protecting sensitive data., • Create rigorous experiments and benchmarks that measure perception quality, temporal consistency, hallucinations, robustness, latency, and cost across locations and operating conditions., • Diagnose failures caused by occlusion, lighting changes, camera placement, rare events, and domain shift; use those findings to improve data and models., • Partner with infrastructure and product engineers to deploy efficient inference pipelines, with monitoring, quality gates, staged rollouts, and rollback paths., • Translate advances in computer vision, VLMs, and embodied AI into practical product capabilities, and communicate the evidence and tradeoffs behind your decisions., • Raise research and engineering standards through reproducible experiments, thoughtful reviews, and clear documentation. Requirements • 3+ years of research or applied development experience in computer vision, multimodal learning, or a closely related field; relevant graduate research counts toward this experience., • A demonstrated research track record in computer vision or vision-language modeling, through publications, substantial research projects, open-source contributions, or research delivered in industry., • Strong foundations in deep learning, visual representation learning, and experimental design, with depth in areas such as video understanding, detection and tracking, visual grounding, or multimodal reasoning., • Hands-on experience training, fine-tuning, or adapting computer vision models, and developing or evaluating VLMs beyond basic API integration., • Strong Python skills and experience with PyTorch or an equivalent deep learning framework, along with modern training and evaluation tooling., • Experience building datasets, designing reliable evaluations, analyzing model failures, and using ablations to understand what drives improvements., • Strong software engineering judgment and the ability to turn research code into reproducible, tested systems that other engineers can use., • Ability to connect modeling choices to product constraints including latency, cost, privacy, reliability, and user experience., • Comfort working through ambiguity and collaborating across research, engineering, and product.Especially relevant experience, • A PhD or research-focused master’s degree in computer vision, machine learning, robotics, or a related field, or equivalent research experience., • Industry research or engineering experience in autonomous driving, robotics, embodied AI, or other applications of perception in the physical world., • Publications at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, ICRA, or RSS., • Experience with monocular video perception, spatial understanding, long-video reasoning, or learning from limited and noisy labels., • Experience shipping vision models under real-time constraints, including model compression, distillation, quantization, or inference optimization. When applying, please include links to relevant publications, research projects, or code, and briefly describe your own contribution. Benefits • Competitive salary and stock option plan., • Company-sponsored green card applications for strong candidates hired into U.S.-based roles, subject to eligibility., • Medical, dental, vision, and retirement benefits as applicable., • Family leave and short-term and long-term disability benefits as applicable., • Paid time off and company holidays., • Learning and development support.

Job Description Job Title: Drone AI Engineer Job Summary We are seeking a Drone AI Engineer to design, develop, and deploy AI-powered autonomous drone solutions for aerial inspection, surveillance, mapping, monitoring, logistics, and precision operations. The ideal candidate will have expertise in robotics, computer vision, autonomous navigation, machine learning, and embedded systems. This role involves developing intelligent flight capabilities, real-time perception, obstacle avoidance, and mission planning while ensuring safe, reliable, and scalable drone operations. Key Responsibilities Design, develop, and optimize AI-powered software for autonomous drone operations. Develop computer vision models for object detection, object tracking, aerial inspection, scene understanding, and anomaly detection. Build autonomous navigation, path planning, waypoint navigation, and obstacle avoidance algorithms. Implement sensor fusion using cameras, LiDAR, GPS, IMU, ultrasonic sensors, radar, and other onboard sensors. Develop flight control, mission planning, and autonomous decision-making capabilities. Integrate AI models with UAV flight controllers and onboard edge computing devices. Optimize AI inference for real-time execution on embedded hardware. Develop drone simulation environments and validate algorithms before field deployment. Integrate drones with cloud platforms, IoT systems, GIS platforms, and enterprise applications. Conduct flight testing, calibration, debugging, and performance validation. Implement monitoring, telemetry, diagnostics, and fleet management capabilities. Ensure compliance with aviation regulations, operational safety standards, and cybersecurity requirements. Prepare technical documentation, operational procedures, and deployment guidelines. Required Qualifications Bachelor's or Master's degree in Robotics, Artificial Intelligence, Aerospace Engineering, Computer Science, Electrical Engineering, Mechatronics, or a related field. 3 years of experience in drone software development, robotics, computer vision, or AI engineering. Strong programming skills in Python and C . Experience with ROS or ROS2. Experience with drone flight stacks such as PX4 or ArduPilot. Knowledge of MAVLink communication protocol. Strong understanding of robotics, control systems, autonomous navigation, and sensor fusion. Experience with Linux development environments, Git, and Docker. Familiarity with embedded systems and edge AI deployment. Preferred Qualifications Experience with computer vision frameworks such as OpenCV, PyTorch, TensorFlow, or YOLO. Experience with drone simulation platforms such as Gazebo, AirSim, NVIDIA Isaac Sim, or Unreal Engine. Knowledge of Simultaneous Localization and Mapping (SLAM), Visual SLAM (VSLAM), and Visual-Inertial Odometry (VIO). Experience with NVIDIA Jetson, CUDA, TensorRT, and AI inference optimization. Familiarity with GIS, photogrammetry, and geospatial data processing. Experience integrating drones with cloud services and real-time telemetry platforms. Knowledge of swarm robotics and multi-drone coordination. Understanding of aviation regulations, UAV safety standards, and remote operations. Technical Skills Python C ROS / ROS2 PX4 ArduPilot MAVLink OpenCV PyTorch TensorFlow YOLO CUDA TensorRT ONNX Runtime Docker Linux Git SLAM Visual SLAM (VSLAM) Visual-Inertial Odometry (VIO) NVIDIA Jetson MQTT REST APIs AWS / Azure / Google Cloud Platform (preferred) Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Attention to detail and operational discipline Ability to work in multidisciplinary engineering teams Innovation and continuous learning mindset Strong debugging and troubleshooting capabilities Nice to Have Experience with precision agriculture, aerial surveying, infrastructure inspection, or defense applications Knowledge of computer vision for thermal imaging, multispectral imaging, or hyperspectral imaging Experience with edge AI optimization, model quantization, and low-latency inference Familiarity with drone fleet management, remote mission planning, and autonomous swarm operations UAV pilot certification or experience conducting commercial drone operations Robotics, AI, cloud, or UAV-related certifications Key Performance Indicators (KPIs) Autonomous flight success rate Object detection and tracking accuracy Navigation and obstacle avoidance performance Mission completion rate Flight stability and system reliability AI inference latency and edge device performance Reduction in operational failures and manual intervention Successful deployment of drone AI capabilities into production Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Hybrid: 3 days onsite in New York, NY We are seeking an experienced M365 Testing Engineer Lead to drive testing strategy, quality assurance, and governance across a complex Microsoft 365 ecosystem. This individual will lead regression testing efforts spanning Exchange Online (EXO), SharePoint, Teams, Microsoft 365 Core Services, Robotics, Client Workstation Packaging, and Microsoft 365 Security & Compliance platforms including Microsoft Defender and Email Routing solutions. The ideal candidate will serve as the bridge between engineering, security, compliance, and business stakeholders, translating requirements into comprehensive testing strategies while ensuring quality, stability, governance, and regulatory compliance across the M365 environment. This role includes ownership of lower testing rings (lanes) that support ongoing continuous regression testing and release validation. Key Responsibilities Testing Leadership & Strategy Define and execute enterprise M365 testing and automation strategies. Lead end-to-end regression testing across: o Exchange Online (EXO) o Microsoft Teams o SharePoint Online o Microsoft 365 Core Services o Client Workstation Packaging o Robotics/Automation Platforms o Microsoft Defender o Email Routing & Messaging Infrastructure Translate business, engineering, user experience, security, and compliance requirements into test plans, test cases, and validation criteria. Drive test planning, execution, defect management, reporting, and quality metrics. Review test results and provide recommendations for release readiness. Governance & Compliance Establish testing governance standards, quality controls, and testing best practices across M365 platforms. Partner with Security, Risk, Compliance, and Infrastructure teams to validate security controls and regulatory requirements. Ensure testing processes align with organizational governance frameworks, audit requirements, and operational controls. Track testing KPIs, quality metrics, defect trends, and compliance reporting. Support audit readiness activities through documentation, traceability, and testing evidence collection. Automation & Continuous Testing Define automation frameworks and testing standards. Drive common testing tools, frameworks, and reusable automation practices. Establish automated regression suites and continuous testing capabilities. Oversee test data generation, environment management, and test execution optimization. Support continuous testing models through ownership of lower environment testing rings and validation pipelines. Required Qualifications 5 years of Quality Assurance, Testing, Automation, or Software Validation experience. 3 years leading enterprise testing programs or QA teams. Strong experience testing Microsoft 365 technologies including Exchange Online, Teams, SharePoint, and Microsoft 365 Security solutions. Experience designing and implementing testing frameworks and automation strategies. Knowledge of Microsoft Defender, security controls, compliance validation, and email routing technologies. Experience with defect management, test planning, reporting, and release governance. Strong understanding of IT Service Management (ITIL/ITSM) principles. Excellent stakeholder communication and leadership skills. Preferred Qualifications Experience supporting large enterprise financial services or highly regulated environments. Familiarity with governance frameworks such as ITIL, COBIT, NIST, or similar control frameworks. Experience with CI/CD pipelines, automated testing tools, and continuous integration practices. Exposure to Microsoft Purview, compliance monitoring, or Microsoft security governance initiatives. Relevant certifications such as Microsoft Certifications, ISTQB, ITIL, or equivalent.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Gecko is building the unified knowledge system industrial facilities have always lacked: a continuously evolving facility context graph that connects every dimension of asset intelligence. At the center of this system is Rolodex, our central data platform and the flexible technical backbone powering the company. As part of the Software Platform team, your mission is to accelerate how Gecko ships world-class products by advancing our foundational cloud infrastructure. We’re looking for an ambitious engineer to lead the next evolution of Rolodex, expanding its architecture and capabilities to support Gecko’s growing data needs. In this role, you’ll shape the future of a core platform that streamlines infrastructure, reduces operational risk, and enables product and pipeline teams to build and ship faster on top of a robust, scalable context graph. What you will do Drive the Rearchitecture: Lead Rolodex's evolution. Rebuild it for the scale of our context graph, preserving its centralized flexibility while unlocking the full performance of underlying storage technologies (time series, vector, etc.). Empower the Graph & Elevate DevEx: Deliver clear ontologies, predictable APIs, and core tooling (SDKs, local dev) that unlock AI agent workflows and eliminate bespoke integrations. Secure the Foundation: Own the evolution of our centralized permissioning system, transforming a robust security model into an intuitive, frictionless experience for developers. Optimize Data Performance: Design and optimize query abstractions (indexing, SQL/GraphQL) and smart routing for heavy workloads. Build Shared Platforms: Establish productized patterns for cross-cutting data needs like schemas, data modeling, chunked uploads, and pipelines. Automate Cloud Infrastructure: Share ownership of Gecko's Cloud footprint. Write Terraform, build self-serve tooling, and systematically eliminate engineering toil through automation. Technologies We Use Backend: Python Frontend: React, TypeScript Cloud Infrastructure: Google Cloud Platform (GCP) Infrastructure as Code: Terraform Developer Tooling: Agentic coding workflows and AI-assisted development tools We use a broad and evolving technology stack, and this list is not exhaustive. We’re tech agnostic in our interview process and encourage candidates from all backgrounds to apply. About You Required Skills 5+ years of hands-on software development experience in a production environment Expertise in writing clean, maintainable code, with a focus on backend infrastructure, databases, or developer tooling Experience designing secure, user-friendly APIs that enable intuitive data interaction Exceptional communication skills and a passion for Developer Experience (DevEx); you care deeply about how other engineers use the systems you build Ability to own and execute long-lived technical projects, coordinating across teams and contributing to critical architectural decisions Open-mindedness, intellectual curiosity, and strong problem-solving skills Excited to dive into new technologies and embrace strong DevOps practices, treating operational resilience and automation as core engineering challenges High self-motivation and a passion for self-directed learning Bachelor’s degree in Computer Science or a closely related field (or equivalent practical experience) Preferred Skills Real-world experience building, maintaining, or scaling central datastores, knowledge graphs, or shared data platforms Experience with Infrastructure as Code (e.g., Terraform) and managing cloud deployments in GCP or AWS Familiarity with complex authorization and permissioning systems Strong judgment around data modeling, storage formats, access patterns, and developer ergonomics Understanding of data pipelines and data processing infrastructure Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $200K - $250K

Job Description Job Title: Autonomous Vehicle Engineer Job Summary We are seeking an Autonomous Vehicle Engineer to design, develop, and deploy AI-powered autonomous driving systems. The ideal candidate will have expertise in robotics, computer vision, sensor fusion, machine learning, and autonomous navigation. This role involves developing perception, localization, mapping, planning, and control algorithms while collaborating with multidisciplinary teams to build safe, scalable, and production-ready autonomous vehicle solutions. Key Responsibilities Design, develop, and optimize autonomous driving software for perception, localization, planning, and vehicle control. Develop computer vision algorithms for lane detection, object detection, traffic sign recognition, pedestrian detection, and obstacle avoidance. Build sensor fusion solutions using cameras, LiDAR, radar, GPS, IMU, ultrasonic sensors, and vehicle telemetry. Implement localization and mapping algorithms using Simultaneous Localization and Mapping (SLAM) and High-Definition (HD) maps. Develop path planning, trajectory generation, and motion control algorithms for autonomous navigation. Integrate AI and deep learning models into autonomous driving software stacks. Build and validate autonomous vehicle software using simulation platforms and real-world testing environments. Optimize inference performance for embedded and edge computing platforms. Perform system integration, debugging, validation, and performance testing. Develop safety mechanisms, redundancy strategies, and fault-tolerant systems for autonomous operation. Collaborate with robotics, AI, embedded systems, software, and hardware engineering teams. Maintain technical documentation, validation reports, and engineering best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Robotics, Artificial Intelligence, Electrical Engineering, Mechanical Engineering, Automotive Engineering, or a related field. 3 years of experience in autonomous systems, robotics, computer vision, or automotive software development. Strong programming skills in C and Python. Experience with ROS or ROS2. Solid understanding of robotics, control systems, vehicle dynamics, and motion planning. Experience with Linux development environments and Git. Knowledge of computer vision and deep learning frameworks. Familiarity with embedded systems and real-time software development. Preferred Qualifications Experience with autonomous driving platforms such as Autoware, Apollo, NVIDIA DRIVE, or similar frameworks. Experience with simulation tools such as CARLA, LGSVL (SVL Simulator), Gazebo, NVIDIA Isaac Sim, or MATLAB/Simulink. Knowledge of perception models using YOLO, Faster R-CNN, Detectron2, or transformer-based vision models. Experience with sensor fusion techniques such as Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), or particle filters. Familiarity with reinforcement learning for autonomous navigation. Experience deploying AI models on NVIDIA Jetson, NVIDIA DRIVE, Qualcomm, or similar edge computing platforms. Understanding of automotive safety standards such as ISO 26262, SOTIF (ISO 21448), and AUTOSAR. Knowledge of Vehicle-to-Everything (V2X) communication technologies. Technical Skills C Python ROS / ROS2 Linux Git OpenCV PyTorch TensorFlow CUDA TensorRT ONNX Runtime YOLO LiDAR Processing Radar Processing Sensor Fusion SLAM Path Planning Motion Planning Docker Kubernetes (preferred) AWS / Azure / Google Cloud Platform (preferred) Soft Skills Strong analytical and problem-solving skills Excellent communication and teamwork Attention to detail and engineering discipline Ability to work in multidisciplinary environments Innovation and continuous learning mindset Strong debugging and troubleshooting abilities Nice to Have Experience with HD map generation and localization Knowledge of edge AI optimization and real-time inference Experience with autonomous fleet management systems Familiarity with Functional Safety, cybersecurity, and automotive compliance requirements Contributions to autonomous driving, robotics, or AI open-source projects Automotive, ROS, AI, or cloud certifications Key Performance Indicators (KPIs) Autonomous driving accuracy and safety performance Object detection and perception accuracy Localization and navigation precision Path planning and obstacle avoidance success rate System latency and real-time performance Software reliability and production stability Successful simulation and field validation results Reduction in safety incidents and system failures Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Embedded AI Engineer Job Description Job Title Embedded AI Engineer Location [City/Remote/Hybrid] Employment Type Full-time / Contract Job Summary We are seeking an Embedded AI Engineer to design, develop, and deploy AI-powered applications on embedded systems and resource-constrained devices. The ideal candidate will have expertise in embedded software development, machine learning, deep learning, and hardware acceleration to build intelligent, real-time solutions for industries such as automotive, consumer electronics, healthcare, robotics, industrial automation, and IoT. Key Responsibilities Design, develop, and deploy AI/ML applications on embedded devices and microcontrollers. Integrate machine learning and deep learning models into embedded software and firmware. Optimize AI models for low-power, low-memory, and real-time inference using quantization, pruning, and compression techniques. Develop embedded software using C/C , Python, and embedded programming frameworks. Deploy AI models using TensorFlow Lite, TensorFlow Lite Micro, ONNX Runtime, TensorRT, OpenVINO, or similar inference frameworks. Interface AI applications with sensors, cameras, microphones, actuators, and communication modules. Collaborate with hardware, firmware, AI, and software engineering teams to build end-to-end intelligent embedded systems. Develop and optimize drivers, middleware, and application software for AI-enabled devices. Benchmark system performance, memory usage, latency, and power consumption. Implement secure boot, firmware updates, and device security best practices. Perform debugging, testing, validation, and troubleshooting across hardware and software components. Document system architecture, software design, deployment procedures, and technical specifications. Stay current with advancements in embedded AI, TinyML, AI accelerators, and edge computing technologies. Required Qualifications Bachelor's or Master's degree in Computer Science, Electronics, Embedded Systems, Electrical Engineering, Artificial Intelligence, Robotics, or a related field. 3 8 years of experience in embedded systems, firmware development, AI/ML, or related software engineering roles. Strong programming skills in C/C and Python. Experience developing software for embedded Linux or RTOS environments. Hands-on experience with machine learning and deep learning model deployment. Knowledge of hardware interfaces such as UART, SPI, I2C, CAN, GPIO, USB, and Ethernet. Experience working with ARM-based processors, microcontrollers, or embedded platforms. Understanding of software optimization, debugging, and performance profiling techniques. Preferred Qualifications Experience with NVIDIA Jetson, Raspberry Pi, STM32, ESP32, NXP, Qualcomm, Texas Instruments, Renesas, or similar embedded platforms. Knowledge of TinyML and AI deployment on microcontrollers. Experience with computer vision, speech recognition, sensor fusion, or robotics applications. Familiarity with FPGA or AI accelerator hardware is an advantage. Experience with OTA firmware updates and device fleet management. Relevant certifications in embedded systems, AI, cloud, or IoT technologies. Technical Skills C/C Python Embedded Linux RTOS (FreeRTOS, Zephyr, ThreadX) ARM Cortex Processors STM32 ESP32 TensorFlow Lite TensorFlow Lite Micro TensorFlow PyTorch ONNX Runtime TensorRT OpenVINO OpenCV CUDA TinyML Edge Impulse Computer Vision Deep Learning Machine Learning Model Quantization Model Pruning UART SPI I2C CAN GPIO MQTT Docker Git CI/CD REST APIs Soft Skills Analytical thinking Problem-solving Communication Collaboration Innovation Attention to detail Time management Adaptability Continuous learning Key Deliverables AI-enabled embedded software and firmware Optimized AI models for embedded deployment Real-time inference applications Hardware and software integration solutions Performance benchmarking and optimization reports Technical documentation Secure firmware deployment and update mechanisms System validation and testing reports Success Metrics AI model inference speed and accuracy Memory and power optimization System stability and reliability Successful deployment on target embedded hardware Reduction in latency and resource utilization Product quality and defect reduction Compliance with security, safety, and quality standards Timely delivery of embedded AI features and product releases

Job DescriptionSoftware Engineer, Real-Time & Safety-Critical Systems Global Placement Firm is conducting a confidential search for a Software Engineer to join a highly specialized deep-tech company rebuilding air traffic control infrastructure from the ground up. This is a high-impact, hands-on engineering opportunity for a software engineer who wants to work on real-time, safety-critical systems where their work directly impacts the reliability and safety of aviation infrastructure. The ideal candidate is a strong generalist and builder with production experience in C++, Python, or similar systems-level languages and a background in real-time, embedded, firmware, aerospace, automotive, robotics, medical devices, or other safety-critical environments. Position Overview As a Software Engineer, you will become one of the core engineering contributors on a small team developing a modern remote air traffic control system. You will work across real-time perception, state estimation, automation, streaming data pipelines, computer vision, speech recognition, and controller-facing applications. This is a greenfield engineering environment where you will have significant ownership and the opportunity to build core systems from the ground up rather than working within a narrowly defined technical lane. The team is developing technology designed to modernize air traffic control for the many airports that currently operate without traditional control towers. Key Responsibilities • Build core software for remote air traffic control tower systems., • Develop real-time perception, state estimation, and automation systems processing sensor data., • Work with video, audio, radar, and other sensor streams in production environments., • Design and optimize streaming data pipelines for ADS-B, voice, and video., • Make engineering tradeoffs involving latency, reliability, performance, and safety., • Develop controller-facing human-machine interfaces (HMI) for remotely monitoring and managing airport traffic., • Build pilot companion applications and tower-side software., • Develop low-latency systems involving speech-to-text and computer vision., • Work across software, hardware, RF, and mechanical systems., • Collaborate closely with a small engineering team to rapidly prototype, test, iterate, and deploy new systems., • Take ownership of core systems and technical problems from initial concept through production., • Debug complex issues across multiple layers of the technology stack., • Help establish engineering standards and development practices as the technical organization grows., • Contribute to the architecture and technical direction of a new generation of aviation infrastructure.Required Qualifications, • 2+ years of professional software engineering experience., • Experience shipping production software using C++, Python, or comparable systems-level languages., • Strong generalist engineering ability with the capacity to work across multiple areas of the technology stack., • Experience with real-time systems, embedded software, firmware, or safety-critical software., • Experience in one or more relevant industries such as:, • Aerospace, • Aviation, • Automotive, • Robotics, • Medical devices, • Defense, • Embedded systems, • Other safety-critical technology environments, • Understanding of real-time systems and engineering tradeoffs involving latency, reliability, and safety., • Demonstrated ability to build and ship production systems rather than working exclusively in simulation or research environments., • Strong problem-solving and debugging skills., • Ability to work effectively in a highly collaborative, cross-disciplinary environment., • Strong startup mentality and willingness to work on systems outside a narrowly defined job description., • Must be based in or willing to relocate to New York City., • Must be comfortable working on-site five days per week in Brooklyn.Technical Environment Ideal experience with hands-on experience includes the following: • C++, • Python, • Real-time systems, • Embedded systems, • Firmware, • Sensor processing, • Streaming data pipelines, • Computer vision, • Speech recognition, • Machine learning, • Radar, • Video processing, • Audio processing, • ADS-B, • Low-latency systems, • Distributed systems, • Safety-critical software, • Hardware/software integration, • RF systemsIdeal Candidate Profile The ideal candidate is a hands-on software engineer and technical builder who wants to work on difficult problems with direct real-world consequences. You should be comfortable operating in an environment where there are few layers between you and the product, and where engineers are expected to take ownership rather than wait for detailed requirements. We're Looking For Someone Who: • Has experience shipping production-level safety-critical or real-time systems., • Is highly proficient in C++, Python, or comparable systems-level technologies., • Has hands-on experience with aerospace, aviation, embedded systems, robotics, automotive, or similar environments., • Enjoys working on technically difficult problems with real-world constraints., • Understands the importance of reliability and safety when building mission-critical systems., • Can work across software, hardware, and other engineering disciplines., • Has a strong startup and builder mentality., • Enjoys creating first and second versions of systems from scratch., • Moves quickly while maintaining engineering discipline., • Has demonstrated initiative outside of their formal job responsibilities., • Has built side projects, open-source software, hardware projects, or other technical projects independently., • Is comfortable working in a small team where every engineer has significant impact., • Is willing to get hands-on and solve problems wherever they arise., • Is energized by greenfield development and ambiguous technical challenges.Production Experience Requirement Production-level experience in real-time, safety-critical, embedded, or systems software preferred. Simulation, academic research, game development, or non-production environments with directly applicable production systems experience that can be demonstrated desired. Must showcase the following: • The production systems they personally worked on., • The programming languages used., • Their specific ownership and responsibilities., • Real-time or latency requirements., • Safety or reliability requirements., • Hardware/software integration experience., • The environment in which the system was deployed.Startup & Ownership Experience This is a very small, early-stage engineering organization where individual contributors have substantial responsibility. Demonstration of startup ownership and greenfield development experience desired. Must be able to provide examples of: • Building core systems from scratch., • Taking products from prototype through production., • Working with limited resources and minimal process., • Making architecture and technical decisions independently., • Debugging problems across hardware and software boundaries., • Shipping products quickly in an evolving environment., • Taking ownership of systems rather than contributing only to isolated components. Long tenures exclusively within large, process-heavy organizations should be evaluated carefully for demonstrated ownership and ability to operate in a highly autonomous startup environment preferred. Work Environment This is an intensely hands-on, highly collaborative, early-stage engineering environment. The engineering team works across software, hardware, RF, mechanical systems, perception, automation, and user-facing applications. Because of the small team size, engineers will have significant influence over the product architecture and technical direction. The company values engineers who are willing to get their hands dirty, move quickly, solve difficult problems, and take ownership of systems from initial concept through real-world deployment. Compensation & Benefits Base Salary: $140,000 – $250,000 annually Equity: Competitive equity package Employment Type: Full-Time Open Positions: 1–2 Experience: 2+ years Work Arrangement: Primarily On-Site Location & Schedule Location: Brooklyn Navy Yard, Brooklyn, New York Work Arrangement: On-Site In-Office Requirement: 5 days per week Candidates must be based in or willing to relocate to New York City. The company may consider 1–2 hybrid days per week for exceptional candidates, but the standard expectation is five days on-site. Visa Sponsorship The company is open to visa transfers, including qualified candidates currently on OPT or H-1B who are eligible for transfer. Why Join This is an opportunity to work on one of the most significant modernization efforts in aviation infrastructure. The company is rebuilding air traffic control technology from the ground up, combining real-time software, computer vision, automation, sensor processing, AI, and hardware systems to modernize how airports manage aircraft. As an early engineering team member, you will have the opportunity to: • Build greenfield real-time systems from the ground up., • Work on safety-critical aviation infrastructure., • Develop technology spanning perception, automation, AI, and streaming data., • Work directly across software and hardware systems., • Help shape the architecture of a new generation of air traffic control technology., • Work closely with experienced founders and technical leadership., • Have significant ownership over core systems., • Build products with direct real-world safety and infrastructure impact., • Work at the intersection of aerospace, AI, robotics, software, hardware, and transportation.Confidential Search This position is being presented by Global Placement Firm on behalf of a confidential client. Additional client and company information will be shared with qualified candidates during the recruitment process.

Job Description Systems Software Engineer, Hardware Validation About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. About the role Our tech stack spans FPGA and ASIC logic, microcontroller firmware, Linux drivers and cross platform user-facing APIs, and every layer changes every week. We're hiring engineers, at more than one level, to keep them integrated, tested and releasable. What Actually Matters Code is cheaper to write than ever. Knowing what should be written, and what "done" means, is the job. We want someone with strong, well-reasoned opinions about how software should be organized and how test coverage should grow, who argues for them, and who changes their mind when the evidence says so. Things we believe in as a team: Fix it at the source. A bug gets fixed where it lives, even when that's someone else's code. The friction of working in each other's areas is worth it. Live at the tip. Every repo tracks the latest of everything it depends on. Small, frequent bumps surface breaks while they're still cheap to fix. Duplicated code is broken code. Two copies drift apart, and then one of them is wrong. It doesn't work until someone else has run it on hardware. Your own simulation or bench is where you start, not where you're done. Disagree with one? Tell us why when you apply. What You'll Do Own releases from commit to customer: build, verify, version and ship product bundles (FPGA bitstreams, firmware, drivers, APIs), including field updates, with release notes and runbooks people trust. Grow our HIL CI to cover every subsystem, and bring each new product into it from its first bring-up board. Track every bug CI finds to its root cause, whether that's Python, Rust, firmware, a Linux driver or FPGA logic, then fix it. Take our products into the systems that use them: time sync, calibration, sensor fusion, and open-source ecosystems like OCP and ROS. What We're Looking For 2+ years of software engineering experience, or equivalent depth from research, internships or serious personal projects. We'll scale scope to experience. Strong Python, and comfort debugging languages you don't write every day. Hands-on hardware experience: bring-up, reading schematics, and using lab instruments to tell a software bug from a board bug. CI/CD experience, ideally against real hardware. Proactive communicator who cares about documentation to support cross functional team members & customers. Nice to Have Rust, C++ or embedded C (we use STM32) Linux device drivers, especially SPI and custom low-level interfaces Reading System Verilog well enough to debug across the FPGA boundary HIL rigs and lab automation (SCPI/VISA, self-hosted CI runners) Timing and signal-integrity debug across SPI, I2C, UART, Ethernet and JTAG/SWD, plus board rework Fiber optics and optical test equipment Datacenter networking, PTP, point clouds or ROS 2 Supporting software that external customers depend on What You'll Gain Ownership of the release and test architecture for our products, from first bring-up to shipping: real decisions, not someone else's pipeline. Close collaboration with hardware, optics, signal processing and perception engineers, and real influence over technical direction at an early-stage company. A path toward customer-facing integration work, if that interests you. Life at Voyant We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $110K - $170K

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Workplace: On-Site, 5 days per week Location: Newark, CA Salary: $105-115k We are seeking an Embedded Software Engineer II with hands-on experience in AUTOSAR platform development to support the design and development of powertrain electronic control units (ECUs) for next-generation electric vehicles. In this role, you will contribute to the development of highly reliable and safety-critical embedded software, supporting products from concept through production. The ideal candidate will have strong experience in C/C++ embedded software development, AUTOSAR architecture and configuration, debugging, integration, and validation of embedded systems. Responsibilities • Develop embedded platform software for powertrain electronic control units from concept through production., • Design and implement software based on AUTOSAR architecture and standards., • Support integration, debugging, and validation of embedded software features., • Perform software troubleshooting across hardware and software interfaces., • Participate in design reviews and code reviews to improve software quality and performance., • Optimize platform software for reliability, scalability, and maintainability., • Execute design verification and product validation testing activities., • Collaborate with cross-functional engineering teams throughout the development lifecycle. Required Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field., • 2+ years of professional experience in embedded software development., • Strong programming experience in C and C++., • Experience developing and delivering AUTOSAR-compliant software., • Solid understanding of AUTOSAR architecture, stack components, and configuration tools., • Ability to read and interpret electrical schematics and component datasheets., • Experience using on-chip debugging tools., • Experience troubleshooting embedded software and hardware issues., • Hands-on experience with board bring-up activities., • Experience with scripting and test automation tools. Preferred Qualifications • Experience developing software for automotive ECUs., • Knowledge of powertrain systems and vehicle electronics., • Familiarity with software integration, validation, and production release processes within automotive environments. Salary Range • $105,000 - 115,000, • The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Principal PIC (Photonic Integrated Circuit) Design Engineer About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. Why Join Us? At Voyant, you'll help develop some of the most sophisticated silicon photonic chips, spanning two exciting applications: optical circuit switching for AI data centers and chip-scale LiDAR sensing. You'll tackle engineering challenges at the intersection of photonic device physics, large-scale circuit integration, and semiconductor manufacturing, developing high-performance photonic components that enable PICs with hundreds to thousands of integrated optical devices. As a Principal PIC Design Engineer, you'll take ownership of large scale photonic chip development from concept and simulation to layout, tapeout, and characterization. You'll have the opportunity to architect complex photonic integrated systems, define chip-level specifications and trade-offs, and work closely with a multidisciplinary team in a fast-paced startup environment. The Role: Lead system-level architecture and design of large-scale silicon photonic integrated circuits (PICs), integrating hundreds to thousands of active and passive photonic devices. Define chip-level optical architectures, link budgets, and performance trade-offs across insertion loss, crosstalk, bandwidth, power consumption, and thermal management. Drive top-level chip integration, floorplanning, optical routing, and design-for-manufacturability (DFM) strategies for high-yield silicon photonics tapeouts. Contribute to photonic component library development Serve as top-level tapeout owner, managing design verification (DRC/LVS) and foundry tapeout execution Provide technical leadership across multidisciplinary teams, collaborating closely with component designers, packaging engineers, electronic IC (EIC) designers, and system software engineers. Guide wafer- and chip-level characterization strategies to evaluate full PIC performance against system-level requirements and drive iterative design updates. Establish and maintain technical relationships with foundry partners to evaluate next-generation process design kits (PDKs) and platform capabilities. What We're Looking For Ph.D. in Electrical Engineering, Applied Physics, Photonics, or a related field with 5+ years of relevant industry experience. 7+ years of hands-on experience in silicon photonic integrated circuit (PIC) design, including electromagnetic simulation, active and passive component optimization, and top-level chip layout/floorplanning. Proven track record of taking complex silicon photonics designs through full foundry tapeouts (DRC/LVS) and successful silicon validation/characterization. Deep expertise in photonic device physics, optical waveguide theory, silicon and silicon nitride fabrication processes, and design-for-manufacturability (DFM) principles. Proficiency with industry-standard simulation and layout tools (e.g., Ansys Lumerical, Tidy3D, COMSOL, KLayout, and gdsfactory). Experience with optical characterization techniques, data analysis in Python or MATLAB, and translating lab measurements into PDK and circuit design updates. Strong technical leadership capability, excellent communication skills, and a demonstrated ability to collaborate across multidisciplinary teams (packaging, EIC, systems, and test). Nice to Have Proven track record designing advanced silicon photonic switches, high-speed optical phase shifters, or ultra-low-loss passive components (e.g., MMIs, mode converters, polarization splitters/rotators). Hands-on experience with silicon nitride (SiN) integration, multi-layer photonic routing architectures, or heterogeneous integration (e.g., III-V on silicon, thin-film lithium niobate). Deep domain expertise in wideband photonic device performance spanning both C-band and O-band telecom/datacom wavelengths. Strong scripting and automation capabilities in Python or MATLAB for component layout generation, automated simulation sweeps, and high-volume data analysis. Experience with automated wafer-level testing setups, process variation extraction, and statistical yield modeling for PIC commercialization. Life at Voyant We build frontier hardware from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $200K - $280K

Founding Robotics Engineer $170,000 - $230,000 New York This role will require substantial travel to different customers' sites and warehouses. About the company We're supporting a seed-stage warehouse robotics startup. Their software is already running in large enterprise operations. Now they're building the AI that lets each robot recognize products and handle them on its own. The founders have built and scaled robotics teams before. The role This is a founding engineering role. You'll lead perception and robot learning and make the key technical decisions. There's no large legacy codebase, so you'll design the approach yourself and build it with the founding team. Success means models that work reliably on live warehouse floors. What you'll own • Perception: 3D scene understanding with depth cameras and point clouds, object pose estimation, and identifying new products without retraining, • Robot learning: Training and fine-tuning vision-language-action models, using simulation and synthetic data, • Deployment: Running models on real robots within tight speed and compute limits, and feeding real-world mistakes back into training, • Data: Teleoperation, data collection, and the pipeline that turns raw recordings into clean training data Why it's worth a look • You'll set the technical direction for perception and learning, • Your models get tested in real customer operations within months, • A small team that makes decisions quickly, • Your scope grows with every new robot, task and customer, • Founding equity What you'll bring • 3 to 5 years of hands-on work in robotics, computer vision or ML, ideally on physical robots, • Experience training models on GPUs and deploying them where speed matters, • 3D perception experience with point clouds and depth cameras, • Experience with real robot hardware and simulation (MuJoCo, Isaac Sim or similar), • Strong Python, plus C++ or another systems language, • You like getting prototypes working quickly Nice to have • Training manipulation or vision-language-action policies, • Zero-shot pose estimation or segmentation, • Grasp planning, • Warehouse or logistics automation experience

Embedded Linux & Edge Platform Engineer Location: New York, NY Employment type: Full-time Work arrangement: In person at Harmoni’s NYC office Reporting to: Engineering Lead Compensation: $130,000 - $170,000 base salary, plus equity and benefits. About Harmoni Harmoni is a manufacturing technology company building a new kind of operating system for the factory floor. Our factory orchestration platform connects machines, people, materials, and data in one intelligent operating layer. By combining real-time information, workflows, automation, and AI, Harmoni helps manufacturers improve throughput, reliability, and on-time delivery. We are a growing, highly collaborative team based in New York, NY, and Akron, OH. We are venture-backed and recently raised our Series A to accelerate the growth of our platform and team. We operate with a flat structure, move quickly, and give people meaningful responsibility for their work. This is an opportunity to help build the embedded platform powering thousands of connected industrial devices and real-time systems deployed in advanced factories. The Role Harmoni is looking for a hands-on Embedded Linux & Edge Platform Engineer to help build the software and hardware platform powering our connected industrial devices. This role sits at the intersection of embedded Linux, edge computing, containerized applications, device infrastructure, and hardware integration. You will work across the device stack—from bootloaders, kernels, and operating-system images to containers, applications, hardware interfaces, secure deployment, and over-the-air updates. You will contribute to our Yocto- and BitBake-based Linux distribution, Docker application stack, OTA infrastructure, embedded hardware, and applications written in languages including C, Python, JavaScript, and TypeScript. This is not a narrowly scoped firmware or hardware-design position. We are looking for an engineer who understands the device as a complete system and can move comfortably between embedded Linux, containers, application code, hardware, networking, and device operations. You will work closely with Harmoni’s engineering team, co-founders, Product, and Deployment. You must be comfortable working independently, navigating unfamiliar problems, and contributing across multiple layers of the stack. What You’ll Work On Embedded Linux and Device Platform • Develop Harmoni’s embedded Linux platform using Yocto, BitBake, and related tooling., • Maintain recipes, layers, board support packages, system configuration, and build infrastructure., • Configure and troubleshoot U-Boot, kernels, kernel modules, and device trees., • Support ARM-based platforms, board revisions, and device configurations., • Improve system reliability, security, performance, boot time, and maintainability., • Diagnose issues across the operating system, hardware, containers, and applications. Containers, OTA, and Fleet Infrastructure • Build, deploy, and troubleshoot Docker containers in resource-constrained edge environments., • Improve container lifecycle management, networking, storage, logging, and recovery., • Help develop reliable deployment patterns for interdependent services on remote devices., • Contribute to Harmoni’s complex OTA and fleet-management infrastructure., • Improve updates for operating-system images, containers, applications, and configuration., • Design for intermittent connectivity, power interruption, failed updates, compatibility, and rollback., • Improve staged rollouts, device targeting, observability, diagnostics, and recovery. Systems and Application Development • Build software across Harmoni’s edge application stack., • Work in the language best suited to the problem, including C, Python, JavaScript, and TypeScript., • Develop system services, device agents, command-line tools, APIs, diagnostics, and automation., • Integrate applications with Linux services, containers, hardware, and cloud infrastructure., • Write maintainable, well-tested software across different parts of the stack. Hardware Design and Integration • Contribute to hardware design, prototyping, board bring-up, and validation., • Create or review schematics and PCB layouts using Altium Designer., • Support component selection, design reviews, testing, and production readiness., • Integrate ARM systems, accelerators, sensors, cameras, controllers, and industrial equipment., • Develop and troubleshoot SPI, UART, USB, Ethernet, GPIO, and other interfaces., • Diagnose problems using software tools, debuggers, logic analyzers, oscilloscopes, and other lab equipment., • Help integrate GPUs, TPUs, and other accelerators used for edge AI workloads. Reliability and Engineering Operations • Help build systems that operate reliably in demanding industrial environments., • Improve monitoring, logging, diagnostics, provisioning, and remote troubleshooting., • Contribute to secure boot, image signing, device identity, and credential management., • Improve build systems, CI/CD pipelines, automated testing, and release tooling., • Support deployments and investigate issues in customer environments., • Document platform architecture, development workflows, and operational procedures. What Success Looks Like In Your First 90 Days • You develop a strong understanding of Harmoni’s technology and device architecture., • You can build, configure, provision, update, and troubleshoot a Harmoni device., • You become familiar with our Yocto environment, container stack, and OTA architecture., • You contribute production-quality improvements and help resolve issues across the stack., • You establish productive relationships across Engineering, Product, and Deployment. Over Time • Harmoni can reliably deploy and operate thousands of connected industrial devices., • Device updates are safe, observable, and recoverable., • Engineers can build, test, and release device software efficiently., • Devices remain dependable through network failures, interrupted updates, and power loss., • The platform supports new hardware, applications, and AI workloads., • Field issues can be diagnosed and resolved remotely with minimal customer disruption. What We’re Looking For We do not expect candidates to have worked with every technology in our stack. We are looking for engineers with deep experience in several of these areas and the ability to learn the rest. • Five or more years of relevant experience in embedded Linux, embedded systems, edge computing, or device infrastructure., • Strong experience developing and debugging embedded Linux systems., • Experience with Yocto, BitBake, or comparable embedded Linux build systems., • Deep proficiency with Linux, shell scripting, and command-line tooling., • Practical experience with Docker and containerized applications., • Proficiency in one or more languages, including C, Python, JavaScript, or TypeScript., • Experience with ARM systems, bootloaders, kernels, device trees, or board support packages., • Familiarity with interfaces such as SPI, UART, USB, Ethernet, or GPIO., • Strong debugging skills across hardware, operating systems, containers, applications, and networks., • Experience building or supporting software deployed on physical devices., • Comfort working independently in a fast-moving environment., • Strong communication and collaboration skills., • Willingness and ability to work full-time in Harmoni’s New York City office. Bonus Points • Experience with Balena, openBalena, balenaOS, or a similar platform., • Experience developing OTA infrastructure for remote device fleets., • Experience with rollback-capable device updates., • Experience with hardware design, board bring-up, and validation., • Experience creating schematics or PCB layouts in Altium Designer., • Experience moving embedded hardware from prototype through production., • Experience with secure boot, TPMs, hardware identity, or image signing., • Experience operating large fleets of connected devices., • Experience with edge AI, computer vision, GPUs, TPUs, or NPUs., • Experience with manufacturing technology, robotics, automation, or control systems. You do not need to match every bonus qualification. If you bring strong embedded Linux fundamentals, hands-on systems experience, and the ability to learn quickly, we encourage you to apply. The Right Person for This Role You are a systems thinker, builder, and relentless debugger - not someone who wants to work within only one narrow layer of the stack. Words like Yocto, ARM, U-Boot, kernel modules, device trees, cross-compiling, secure boot, OTA, SPI, UART, and Docker bring you joy. You are as comfortable investigating a boot failure as you are debugging a container, tracing a hardware-interface problem, or writing a deployment tool. When something fails, you want to understand why - not simply restart it and move on. You understand that factory software has different requirements from software running in a data center. Devices lose power. Networks disappear. Updates fail halfway through. Hardware behaves unexpectedly. You design for those realities. You do not need to be an expert in everything we use. You bring deep knowledge in several areas, strong engineering fundamentals, and the curiosity to learn the rest. Most importantly, you want to help build the platform connecting physical equipment, intelligent software, and the factory of the future.

What're we trying to solve? Openshelf is building an open-source system to automate physical inventory—combining hardware and software to handle storage, retrieval, and real-time tracking. • The Problem: Managing physical inventory is messy. Manual processes are slow, error-prone, and don't scale. It's hard to know what you have, where it is, or how much space it's taking up., • What We're Doing: We're developing a small-scale AS/RS system that captures weight, dimensions, and location data every time something moves. Our stack runs Python on the backend (FastAPI, hardware orchestration, event-driven robot control) and a SvelteKit frontend, all containerized and deployed on dedicated hardware. We're designing it to be flexible and open so others can adapt, improve, and deploy it across all kinds of environments—not just warehouses with big budgets. The goal is accurate, real-time visibility into physical inventory, made as accessible as possible. What you'll be doing: • Maintaining, debugging, and improving the existing Python backend and hardware control layer under the guidance of senior engineers., • Writing clean, testable Python code that interfaces with physical hardware (motors, scales, barcode scanners, sensors) over serial, Modbus, and GPIO., • Building and maintaining internal tools and dashboards that let the team monitor, configure, and debug production devices., • Working with AI coding agents to accelerate development—we already use them daily and expect you to as well., • Collaborating on software design decisions: API structure, data modeling, error handling, and state management., • Participating in code review, testing, and deployment to real devices in our lab and in the field., • Contributing to the full development cycle from concept through iteration—whether that's a new sensor integration, a performance fix, or an internal utility that saves everyone time. Who are you? • You're passionate about software and excited to work on systems that interact with the physical world., • You have a solid foundation in Python and a genuine curiosity about how the full stack fits together—even if you haven't worked with hardware before., • You're resourceful and have high agency. When you hit something you don't know, you dig in and figure it out rather than waiting for someone to hand you the answer., • You're comfortable navigating uncertainty and working on problems where the requirements aren't fully settled., • You communicate clearly and collaborate well. You're happy to ask questions when you're stuck, and you take feedback as a way to get better., • You're excited to work in-person alongside a small, focused team where your contributions have direct impact on the product and the company. Requirements: • Proficiency in Python—you can write readable, well-structured code and understand common patterns (async, I/O, error handling, testing)., • A baseline of good software engineering practices: version control (git), debugging, reading documentation, and breaking down ambiguous tasks., • Interest in or experience with AI-assisted development (Codex, Claude Code, or similar coding agents)., • Willingness to work with physical hardware and debug real-world systems—motors that don't move, sensors that return garbage data, serial ports that disappear., • Ability to work on-site in midtown Manhattan full-time., • Previous experience with FastAPI, Docker, or automation/robotics is a plus, but not required. Practical Details: • You'll get a competitive salary and stock options—you'll own part of the company., • We're based in midtown Manhattan, and this is an on-site, in-person role. We believe building the best product is the result of continuous collaboration and short feedback loops., • You'll work directly with senior engineers who will guide your work, review your code, and help you grow. Salary & Benefits: • Salary Range: $100-$130k + equity, • Fully covered health, dental, and vision insurance, • Flexible PTO, • Team lunches and off-sites

Robotics & Software Engineering Intern What are we trying to solve? Openshelf is building an open-source system to automate physical inventory, combining hardware and software to handle storage, retrieval, and real-time tracking. • The problem: Managing physical inventory is messy. Manual processes are slow, error-prone, and don’t scale. It’s hard to know what you have, where it is, or how much space it’s taking up., • What we’re doing: We build compact automated storage and retrieval systems that capture weight, dimensions, and location data every time something moves. We’re now adding robotic automation on top: cherry-picking, tube decapping, and liquid handling, so labs can store, open, sample, and return samples without manual handling. Everything is open so others can adapt, improve, and deploy it, not just warehouses with big budgets. Our stack runs Python on the backend (FastAPI, hardware orchestration, event-driven robot control) and a SvelteKit frontend, all containerized with Docker and deployed on Raspberry Pi–based hardware. Mechanical design happens in Onshape. What you’ll be doing • Writing and debugging Python that controls real hardware: motors, motion axes, grippers, scales, barcode scanners, and sensors, over serial, Modbus, and GPIO., • Helping bring up and test new robotic modules, from first motion to reliable operation., • Supporting mechanical prototyping and testing: CAD changes in Onshape, 3D-printed fixtures, and tracking parts on the BOM., • Building internal tools and dashboards to monitor, configure, and debug devices in our lab and in the field., • Using AI coding agents (Claude Code, Codex, or similar) daily to move faster. We do, and we expect you to., • Joining code review, design discussions (API structure, data modeling, error handling, state management), and deployments to real devices., • Owning small projects end to end under the guidance of senior engineers, whether that’s a new sensor integration, a reliability fix, or a test rig. Who you are • You’re excited about software that moves things in the physical world., • You’re resourceful and high-agency. When you hit something you don’t know, you dig in and figure it out., • You’re comfortable with ambiguity and problems where the requirements aren’t settled yet., • You communicate clearly, ask questions when you’re stuck, and treat feedback as a way to get better., • You want to work in person on a small team where your work ships into the product. Requirements • Solid Python: readable, well-structured code, with an understanding of async, I/O, error handling, and testing., • Good engineering habits: git, debugging, reading documentation, breaking down vague tasks., • Willingness to get hands-on with hardware: motors that don’t move, sensors that return garbage, serial ports that disappear., • Interest in or experience with AI-assisted development., • Able to work on-site in Midtown Manhattan full-time. Nice to have • Robotics, motion control, or embedded experience (FIRST/FRC, club teams, personal projects all count)., • CAD experience (Onshape preferred) or prototyping with 3D printers, laser cutters, or machine shop tools., • FastAPI, Docker, Linux, or Raspberry Pi experience., • Exposure to lab automation or industrial automation. Practical details • Schedule: Full-time, hourly, in person at our Midtown Manhattan office., • Start date: ASAP, • Compensation: $22/hour, • You’ll work directly with senior engineers who review your code and help you grow.

This is an early, high-ownership builder role at a Series A robotics startup building a platform that automates how physical, real-world hardware systems get developed and tested. Rather than another software layer bolted onto existing tools, the platform handles the full development loop end to end, from simulation to test generation to AI-proposed fixes, spanning software, firmware, and hardware. It's a novel infrastructure-and-agents problem. Founders: a tight-knit team of classmates from a top computer science program, several with backgrounds at places like Tesla Autopilot and DeepMind, who've already built and sold one company together and are now tackling a much bigger problem in physical AI. This is an in person role, 5 days a week, out of their New York City office. Responsibilities • Build and run the cloud infrastructure behind the platform's simulations: orchestration, GPU pools, storage, observability., • Ship the web app customers use to author, run, and review simulations., • Build the SDKs, CLIs, and internal tools that keep engineers and customers moving fast., • Build the agentic harness (APIs, MCP servers, evals) that lets coding agents run simulation work end to end., • Drive performance, reliability, and cost as usage scales., • Work directly with customers to integrate the platform into their pipelines. Desired Qualifications • Generalist engineer who's run production cloud systems (GCP/AWS/Azure, Kubernetes)., • Strong Python; Rust or C++ a plus., • History shipping dev-facing tools, SDKs, APIs, CLIs, that other engineers rely on., • Sharp instincts for reliability, performance, and distributed systems., • Uses coding agents as a multiplier on top of real engineering chops, • Has shipped real production systems. ---------------- Greylock Talent: I am a full-time, salaried employee of Greylock, and there are no fees associated with any of the work I do. My team provides free candidate referrals/introductions to all of our active investments (one of the many services we provide), and I'm always looking to add new people to our network of talent.

Job Title: Robotics Software Engineer Location: Onsite - Menlo Park, CA or New York, NY Duration: 12-Month W2 Contract Our client is interested in candidates who have built, integrated, deployed, or supported advanced robotic systems in research, commercial, industrial, autonomous, or robotics-focused environments and can demonstrate successful deployment of software on physical robotic hardware. We are seeking a highly skilled Robotics Software Engineer to help deploy and scale advanced robotic systems in real-world environments. This role combines robotics software development, hardware integration, machine learning deployment, and real-time control systems. The ideal candidate has hands-on experience working with physical robots and enjoys solving challenging problems involving perception, control, autonomy, and system reliability. Required Qualifications Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. Strong software development skills in Python and C++. Experience with ROS/ROS2 or similar robotics middleware frameworks. Hands-on experience with robotic systems, sensors, actuators, and embedded computing platforms. Experience deploying machine learning or control algorithms to physical hardware. Strong debugging, troubleshooting, and problem-solving skills. Ability to work effectively in a fast-paced engineering environment. Preferred Qualifications Experience with humanoid, legged, mobile, or autonomous robotic platforms. Knowledge of locomotion, manipulation, motion planning, or whole-body control. Experience with simulation-based robotics development and validation. Familiarity with machine learning frameworks such as PyTorch. Experience with teleoperation systems, motion capture, or robotics data collection platforms. Experience supporting hardware development, testing, and field deployments. Responsibilities Develop, deploy, and maintain software for robotic platforms operating in real-world environments. Integrate sensors, actuators, onboard computing systems, and control frameworks. Support robot bring-up, calibration, testing, troubleshooting, and maintenance activities. Deploy and validate machine learning models on robotic hardware. Build and maintain simulation-to-hardware deployment workflows. Design and implement real-time control and monitoring solutions. Conduct system-level testing and performance analysis. Collaborate with cross-functional software, hardware, and robotics engineering teams. Document system architecture, testing procedures, and deployment processes.

A leading quantitative trading firm is seeking a Machine Learning Performance Engineer to join a small, highly technical team leading deep learning trading strategy in live markets. The strategy is early in its development, so this is a chance to build core performance infrastructure alongside the lead researcher instead of inheriting a finished platform. You'll work at the intersection of deep learning, GPU programming, and systems engineering. Speed and efficiency of both training and inference translate directly into trading performance. What You’ll Work On • Write (from scratch) and optimize custom CUDA kernels for latency- and throughput-critical deep learning workloads, • Build scalable, robust training and inference pipelines, • Identify and eliminate performance bottlenecks across the GPU, memory hierarchy, and software stack, • Dig into the internals of open-source deep learning frameworks (PyTorch, JAX) and extend them where needed, • Work directly with researchers and traders to turn model ideas into fast production systems, • Develop a deep understanding of the trading systems your work supports Qualifications • Hands-on CUDA kernel development, with strong knowledge of Tensor Cores, cooperative groups, CUDA Graphs, and warp-level intrinsics, • Strong C++ and Python, • Deep understanding of computer architecture, including memory hierarchy and GPU execution, • Expertise in the internals of deep learning frameworks such as PyTorch, JAX, or TensorFlow, • Experience building or optimizing high-performance deep learning systems in any domain (robotics, recommendations, audio, video, biology, and so on) Nice to Have • Experience with Triton, CUB, cuDNN, or cuBLAS, • JAX ecosystem experience (XLA, Flax), • Linux systems programming, • Large-scale distributed training, • Open-source contributions to ML or GPU projects Prior finance or trading experience is not required.

About the team Mbodi builds the software layer that lets industrial robots learn new skills from instruction in minutes instead of weeks of hand-tuning. We work with Fortune 100 companies across manufacturing, logistics, and pharmaceutical labs, where we operate at the intersection of real-time robotics control, distributed agent orchestration, and compiled neural inference. As one of our early engineers, you'll work on the core systems that translate camera input into a software representation of the physical world, orchestrate agents that reason over it, and compile learned skills into fast, deterministic robot behavior on the fly. About the role We're looking for a senior software engineer with deep intuitions about concurrency who is comfortable writing performance-critical code across the stack, from compiled C runtimes to Python agent orchestration and TypeScript frontends. You'll work directly with the founders on the core platform: the robot interface, the real-time world model, and the APIs that tie everything together. The systems you build ship into customer environments. Correctness and uptime matter from day one, and you'll own your decisions end to end. This role is based in New York City. We work a hybrid model with a minimum of three days per week in our SoHo office. In this role, you will • Design and implement the distributed execution layer that coordinates robot agents, validators, and skill runners across work cells, • Own the concurrency model for the platform, from scheduling and synchronization to failure recovery, • Build the real-world representation layer that turns camera input (objects, positions, states) into a live, persistent picture the system can reason over, • Write performance-critical runtime components in C that turn design-time agent reasoning into deterministic, low-latency execution, • Develop the TypeScript interfaces and APIs that surface robot status, task state, and live feedback to operators, • Instrument the system for observability, including tracing, latency profiling, and failure analysis across a distributed fleet, • Work closely with ML and robotics engineers to keep the execution layer and the learning loop tightly coupled You might thrive in this role if you • Have 5+ years of experience building distributed systems, with production exposure to concurrency bugs, partial failures, and consistency tradeoffs, • Write fluent Python and TypeScript, and are comfortable dropping into C when performance demands it, • Have strong intuitions about concurrent execution and know when to reach for locks, queues, or message passing, • Have built systems where correctness is non-negotiable, such as robotics, autonomous systems, real-time control, or similar domains, • Design for retry, rollback, and graceful degradation before the happy path, • Move fast without cutting corners on correctness, observability, or API contracts, • Are comfortable switching between a C runtime, a Python orchestrator, and a TypeScript dashboard in the same afternoon, • Have hands-on experience with large language models (LLMs), agent frameworks, or model inference, though this is a bonus rather than a requirement About Mbodi Mbodi makes industrial robots learn like humans. Our AI software plugs into any robot and lets anyone teach it new skills through conversation. We're backed by leading investors. Our founders bring experience from Google and the University of Pennsylvania's robotics lab, and we're building a small, senior team focused on hard problems in the physical world. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. Compensation Base salary: $165,000–$250,000

At Raise Robotics, we’re building robots that work where people shouldn’t.Our team has successfully deployed machines into real construction sites and factories, working every day.We’re now building our next generation platform to help build some of the largest structures in the world - think

About the job Location: New York City preferred Role type: Full-time Seniority: Senior / Principal / Founding Engineer Compensation: Competitive cash compensation, benefits, and founding-engineer level equity package. This is one of the company’s first technical hires and will carry meaningful ownership, technical authority, and long-term upside tied to building a foundational part of the Sentor platform. About the company The company is building , a patent-pending AI-native motion platform for robotics and complex electromechanical systems. The AI-native motion platform is designed to move intelligence closer to the physical motion layer. Instead of treating actuation as a passive output from a central controller, we are building hardware and software that can sense local conditions, adapt to changing loads, and respond in real time. We recently closed our seed round and are building the founding technical team. The Role We are looking for a Founding Edge Intelligence Lead to build the onboard machine learning and decision-making layer for the AI-native motion platform. This role sits at the intersection of machine learning, robotics, controls, embedded systems, and physical hardware. Your job is to turn signals such as load changes, vibration patterns, motion signatures, thermal behavior, and other physical signals into useful intelligence: state estimation, anomaly detection, adaptive response, and eventually learned motion behavior. This is not a cloud ML role. It is not a dashboard role. It is not a generic AI role. It is the software layer that lets a physical machine learn from its own body. What You’ll Own 1. Onboard Sensing and State Estimation You will develop models and algorithms that interpret Sentor’s local sensor data in real time. This may include: • torque resistance estimation;, • load and contact inference;, • vibration and resonance mode prediction and detection;, • friction / hysteresis pattern recognition;, • thermal and mechanical drift prediction and detection;, • fatigue / degradation signatures;, • sensor fusion across current, position, velocity, torque, temperature, strain, vibration, and related signals. The goal is to help AI-native motion platform to understand what is happening locally before waiting for a centralized robot controller. 1. Edge ML and Local Decision-Making You will build the onboard intelligence layer that enables AI-native motion platform to respond intelligently to changing physical conditions. This may include: • lightweight ML models for low-power embedded inference;, • adaptive torque / speed / stiffness response;, • local reflex-like behaviors;, • learned response profiles;, • anomaly detection and protective behaviors;, • real-time classification of operating regimes;, • prediction of near-term load or resistance changes;, • safe local adaptation within guardrails. The system must be fast, robust, and suitable for real-time actuation. Model elegance matters less than useful, reliable behavior on hardware. 1. Controls-Aware Learning This role must bridge ML and controls. You will work on algorithms that can coexist with, augment, or inform control systems rather than fight them. Relevant areas may include: • model predictive control;, • adaptive control;, • reinforcement learning for constrained physical systems;, • imitation learning;, • system identification;, • state-space models;, • Kalman filtering / particle filtering;, • residual learning around physics-based models;, • learned compensators for friction, hysteresis, backlash, vibration, or load variation. The right person understands that onboard intelligence in an actuator needs to be safe, bounded, and physically grounded. 1. Simulation and Digital Twin Interface You will work closely with our simulation / digital twin function. Over time, the edge intelligence layer should interface with simulation tools so we can: • generate synthetic operating scenarios;, • test edge models before hardware deployment;, • simulate load changes, impacts, failures, and edge cases;, • train or validate models in virtual environments;, • compare simulated sensor traces with real bench data;, • accelerate sim-to-real iteration;, • develop motion profiles before physical customer deployments. The long-term vision is for AI-native motion platform onboard intelligence and AI-native motion platform simulation environment to reinforce each other. 1. Embedded Deployment You will help turn ML models into deployable real-time software. This will include: • embedded C model development and deployment, • model compression and optimization;, • embedded inference;, • latency and memory optimization;, • real-time data pipelines;, • firmware / embedded software integration;, • safety fallbacks;, • deterministic behavior under constrained compute;, • deployment to microcontrollers, embedded Linux, DSPs, or edge accelerators. The job is not done when the model works in Python. The job is done when it improves behavior on the machine. Ideal Background Strong candidates have experience with: • embedded C code;, • robotics;, • autonomous systems;, • humanoids / legged robots;, • drones;, • surgical robotics;, • industrial automation;, • motor control;, • embedded ML/edge AI;, • controls;, • physical AI;, • sensor fusion;, • reinforcement learning for real systems;, • predictive maintenance / anomaly detection for machines;, • simulation-to-real robotics. Relevant experience may include: • time-series ML;, • real-time sensor fusion;, • embedded inference;, • controls-aware ML;, • actuator or motor control;, • adaptive systems;, • state estimation;, • robot dynamics;, • online learning or calibration;, • physics-informed ML;, • digital twins;, • sim-to-real workflows. Tools and Technical Stack Preferred experience: • Embedded C;, • Python, C++;, • PyTorch, JAX, TensorFlow, scikit-learn;, • ONNX, TensorRT, TFLite Micro, TVM or related deployment tools;, • MATLAB / Simulink;, • ROS / ROS 2;, • MuJoCo, Isaac Sim, Gazebo, Drake, or related robotics simulation tools;, • real-time data acquisition;, • embedded Linux, RTOS, microcontrollers, DSPs, or edge accelerators;, • control systems, MPC, state-space modeling, filtering, and system identification. We care less about exact tool overlap and more about whether you can build useful intelligence for real physical systems. What Success Looks Like In the first 3–6 months, success looks like: • building the first sensor data pipeline for Sentor;, • defining the onboard intelligence architecture;, • identifying which sensor signals are most predictive of physical state;, • creating initial models for load / resistance / operating-regime inference;, • deploying early edge models or algorithms on prototype hardware;, • building safety-bounded local response behaviors;, • integrating with bench-test data and simulation outputs;, • helping define how Sentor learns from repeated physical interaction. Longer term, this role becomes foundational to Sentor’s differentiation: local intelligence at the actuator level, coordinated across the robot through Sentor Motion Studio. You Are a Fit If • You are excited by ML that touches real hardware., • You think physical intelligence should live closer to the body, not only in the cloud or central controller., • You can move between Python experiments, embedded C code, control theory, embedded constraints, and physical test data., • You understand that real-time systems require safety, reliability, and bounded behavior., • You are comfortable building with incomplete data and improving through iteration., • You want to help create the onboard intelligence layer for a new category of actuation.

About the company As an Equipment Engineer, you will support semiconductor manufacturing equipment across installation, modification, upgrades, maintenance, performance, reliability, and uptime. You will provide technical support to equipment repair and process engineering teams, define preventive maintenance schedules, and own improvements affecting tool stability, availability, failure rate, scrap, and cost. You will join a global semiconductor company that designs, manufactures, and sells analog and embedded processing chips for industrial, automotive, data center, personal electronics, and communications markets. The manufacturing site is a 200mm facility investing in automation, robotics, new product introduction, and AI/ML capabilities. What You Will Be Doing • Evaluate, select, and order cost-effective equipment for semiconductor manufacturing., • Oversee equipment installation, modification, upgrades, and maintenance., • Monitor equipment manufacturers’ technical notices, upgrades, and safety issues., • Study equipment performance and reliability to identify improvement opportunities., • Establish solutions that increase uptime and resolve manufacturing equipment problems., • Provide technical support to equipment repair and process engineering organizations., • Define and write preventive maintenance schedules. Key requirements / What we look for • Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related engineering field., • At least three years of relevant experience as an Equipment Engineer in semiconductor manufacturing., • Experience with Thin Films, Plasma Etch, Wet Chemistry, or Diffusion is preferred., • Equipment experience with OEMs such as AMAT, LAM, Novellus, TEL, ASML, Kokusai, Akrion, or Axcelis is preferred., • Experience with tool monitoring and interdiction software, equipment maintenance, and documentation., • Ability to own Tool Stability Performance, including Availability, Failure Rate, Scrap, and Cost., • Working knowledge of semiconductor manufacturing and SPC techniques., • Experience following semiconductor cleanroom protocols and behaviors., • Strong verbal and written communication, analytical thinking, critical thinking, and problem-solving skills., • Ability to collaborate across functions, take initiative, drive results, manage time, and deliver projects on schedule., • Ability to work effectively in an interrupt-driven, fast-paced, and rapidly changing environment., • Demonstrated ability to build strong, influential relationships. Why This Role and How to Apply This role gives you ownership of equipment performance within an actively investing 200mm semiconductor manufacturing site, with opportunities connected to automation, robotics, new product introduction, and AI/ML. You will work across equipment repair, process engineering, and manufacturing teams to improve reliability and production performance. Apply today or contact Nexus Semiconductor Recruitment for a confidential conversation.

For this role, we are seeking a Senior Robotics Software Engineer who will develop models and algorithms to generate safe and accurate trajectories on the robot. At Raise Robotics, we’re building robots that work where people shouldn’t. At least 3 years developing motion planning software in a p

At Raise Robotics, we’re building robots that work where people shouldn’t. Raise Robotics is an Equal Opportunity Employer, committed to creating a diverse and inclusive company culture, and does not discriminate against candidates and employees because of their disability, sex, race, gender ide

Rather than another software layer bolted onto existing tools, the platform handles the full development loop end to end, from simulation to test generation to AI-proposed fixes, spanning software, firmware, and hardware. Build the SDKs, CLIs, and internal tools that keep engineers and customers mov

Robotics & Software Engineering Intern. Building internal tools and dashboards to monitor, configure, and debug devices in our lab and in the field. Owning small projects end to end under the guidance of senior engineers, whether that’s a new sensor integration, a reliability fix, or a test ri

A baseline of good software engineering practices: version control (git), debugging, reading documentation, and breaking down ambiguous tasks. You're passionate about software and excited to work on systems that interact with the physical world. Previous experience with FastAPI, Docker, or automatio

A baseline of good software engineering practices: version control (git), debugging, reading documentation, and breaking down ambiguous tasks. Collaborating on software design decisions: API structure, data modeling, error handling, and state management. You're passionate about software and excited