Senior Software Engineer

Company OverviewAt Dexmate, we are pioneering the future of robotics as an innovative startup dedicated to creating versatile mobile robots capable of executing intricate manipulation tasks. We seek talented and passionate Robot Learning Engineers to join our dynamic team and elevate our robot manipulation capabilities. Ideal candidates will have a strong background in machine learning and/or robotics, and will thrive in a collaborative environment with dedicated researchers and engineers committed to driving technological progress. This full-time role is based in our Santa Clara, CA office.Key ResponsibilitiesDevelop and implement cutting-edge learning algorithms for robot manipulation, navigation, and control, ensuring seamless transition from simulation to real-world deployment.Innovate new techniques to improve robot dexterity and mobility through reinforcement learning, imitation learning, and foundational models.Scale machine learning systems for extensive model training and fine-tuning processes.Cultivate a diverse array of robust manipulation skills that expand the potential of robotic systems.Work in close partnership with hardware, controls, and systems engineers to devise integrated solutions.Required QualificationsPhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related discipline; OR a Master’s degree with over 1 year of industry experience; OR a Bachelor’s degree with 3+ years of relevant industry experience.A minimum of 2 years of practical experience in developing AI systems for robotics applications.Deep knowledge of contemporary robot learning methodologies including reinforcement learning, imitation learning, and behavior cloning.Strong command of Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX.Demonstrated experience in conducting real robot experiments and troubleshooting complex robotic systems.Familiarity with robot simulators including Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar tools.Exceptional problem-solving skills and effective communication abilities.A genuine enthusiasm for robotics and a commitment to developing practical solutions.Preferred QualificationsPublications in leading robotics or AI journals.

Role OverviewJoin our dynamic team at Dexmate as a Reinforcement Learning Engineer, where you will have the opportunity to innovate and advance the capabilities of our robotic systems through the development and deployment of state-of-the-art reinforcement learning algorithms.Key ResponsibilitiesDesign and implement advanced reinforcement learning algorithms tailored for diverse robotics applications.Develop and refine RL training pipelines for both simulated and real-world environments.Collaborate closely with robotics engineers to seamlessly integrate RL models into production systems.Conduct rigorous experiments aimed at evaluating and enhancing algorithm performance.Scale training infrastructure to facilitate efficient learning across multiple robot platforms.

Join our innovative team at Dexmate as a Robotics Systems Engineer in Santa Clara, CA (on-site). This pivotal role involves serving as the technical liaison among hardware, software, and AI components, ensuring flawless integration and validation of our robotic platforms from initial prototypes to full-scale production systems.Key ResponsibilitiesSystem Integration & ArchitectureCraft and maintain comprehensive documentation of system architectures across mechanical, electrical, firmware, and software domains.Lead the integration of system-level components for new robotic platforms, ensuring optimal functionality across sensors, actuators, computing, and communication subsystems.Design and prototype early iterations to mitigate risks associated with new technologies and validate system concepts.Software & Control SystemsDevelop software solutions for controlling and testing robotic platforms at a system level.Create tailored testing frameworks and automation tools to facilitate validation and debugging processes.Implement data visualization and diagnostic tools to track system performance effectively.Testing, Validation & DeploymentFormulate and execute detailed test plans to validate motion, sensing, control, and manipulation capabilities.Commission and operate robotic systems from initial setup through to production deployment.Ensure overall functional and performance readiness throughout the entire product lifecycle.Problem Solving & Cross-Functional CollaborationConduct root cause analysis for complex challenges that span hardware, firmware, and software domains.Diagnose and resolve system interactions during design, launch, and deployment stages.Collaborate closely with teams in mechanical, electrical, perception, controls, and AI to deliver cohesive solutions.Required QualificationsBachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a related field, coupled with 5+ years of industrial experience; OR a Master's degree with 3+ years of relevant experience.A minimum of 3 years of hands-on experience in robotic system integration, with proven expertise in software development and testing.

At Dexmate, we are pioneering the creation of sophisticated robotic systems that tackle pressing real-world challenges. Our mission is to develop the next generation of robots that can seamlessly collaborate with humans, operate in diverse environments, and alleviate increasing labor shortages.Position OverviewWe are on the lookout for skilled Control Engineers to become integral members of our innovative team. You will spearhead the development of cutting-edge control and state estimation algorithms for our robotic platforms.Key ResponsibilitiesDesign and implement state estimation, sensor fusion, planning, and control algorithms to ensure rapid, dynamic, and secure robot movement.Collaborate with interdisciplinary teams, including embedded systems, perception, hardware, and AI specialists.Enhance control performance across various aspects such as stability, safety, accuracy, and energy efficiency.Plan and execute experiments to validate control algorithms in both simulations and real-world hardware.Evaluate system performance data to pinpoint failure modes and identify areas for enhancement.Thoroughly document technical methodologies, implementation specifics, and experimental findings.RequirementsMaster's degree or PhD in Robotics, Control Systems, Mechanical Engineering, or a related technical domain.Minimum of 4 years of professional experience in developing control systems for dynamic robotic platforms.In-depth knowledge of control theory, including nonlinear control, model predictive control, and optimal control techniques.Familiarity with state estimation methods such as Kalman filters, particle filters, and factor graphs.Proficiency in programming languages such as C++, Python, and Rust for real-time robotics applications.Solid understanding of robotic kinematics, dynamics, and mathematical modeling principles.Experience with sensor integrations, including IMUs, encoders, and force/torque sensors.Demonstrated success in implementing and testing control algorithms on physical robotic systems.Exceptional problem-solving abilities and expertise in debugging intricate system interactions.Preferred QualificationsExperience with highly dynamic control systems, including bipedal, quadrupedal, or humanoid robotics.Knowledge of machine learning algorithms as applied to robotics.

Join us at Dexmate, an innovative startup at the forefront of robotics, where we are developing versatile mobile robots designed to tackle everyday manipulation tasks. We are seeking a talented and enthusiastic Robotics Navigation Engineer to be a part of our pioneering team, contributing to the evolution of robotic dexterity.Key Responsibilities:Design, implement, test, and deploy cutting-edge planning, 3D navigation, and perception algorithms on operational robots.Create a dependable and robust navigation system tailored for intricate indoor settings.Enhance and uphold our navigation software stack.Develop and deliver high-quality, well-documented Python and C++ packages equipped with unit and integration tests.Collaborate with cross-functional teams to build a high-performance robotics system.Qualifications:Advanced degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or equivalent research experience.Demonstrated passion for working with robots and developing robotic products.Proficient in state-of-the-art navigation and planning algorithms.Exceptional analytical and problem-solving abilities.Strong research and engineering skills for rapid prototyping and product development.Proficient in Python, C++, and ROS/ROS2; experience with CUDA and Rust is a plus.Familiar with deep learning frameworks such as PyTorch, TensorFlow, or Jax.Experience conducting experiments with real robots.Experience with robot simulators like Isaac Sim, SAPIEN, MuJoCo, or Drake.Bonus Qualifications:Practical experience deploying navigation systems using RGB cameras or 3D lidars is advantageous.Experience managing large-scale robot fleets is beneficial.Hands-on experience with various robot manipulator types is a plus.In-depth knowledge of robotics principles including kinematics, dynamics, control, and SLAM is preferred.Experience deploying AI models on NVIDIA Jetson or DRIVE embedded systems is an asset.

About Blue River Technology Blue River Technology, based in Santa Clara, CA, builds intelligent machinery to help clients tackle complex challenges. The team’s work supports safer, more sustainable practices for farmers, construction crews, and foresters, aiming to boost profitability and reduce reliance on scarce labor. Precision and attention to detail guide every project, from individual pixels to entire workflows. Role Overview: Senior Robotics Engineer This role centers on developing and improving simulation infrastructure and robotics software to advance the company’s digital-twin and site mapping capabilities. Collaboration with other engineers and hands-on tool development are key parts of the job. Main Responsibilities Create and maintain simulation infrastructure to support digital-twin simulation, enabling thorough testing and quick debugging. Design workflows and tools for job site mapping. Work closely with engineering teams to improve tools for processing raw and semi-raw sensor data for simulation use. Contribute to robotics software development using C++ and Python. Build visualization tools for camera geometry, including fields of view and overlap in multi-camera systems. Required Qualifications Bachelor’s degree in a STEM field and at least 5 years of relevant experience. Proficiency in developing camera visibility models, including camera intrinsics, distortion correction, extrinsics, and mechanical tolerances, using Blender and OpenCV (minimum 4 years). Experience designing and deploying distributed simulation systems on AWS for scalable digital-twin environments with real-time sensor data processing (any experience level). Ability to define and extend onboard and machine-to-machine communications using MQTT and DDS middleware, as well as Protobuf and OMGIDL message schemas (at least 1.5 years). Expertise in developing real-time simulation tools with ray tracing software to improve perception inputs (minimum 1 year). Experience creating and maintaining Bazel build targets for efficient builds across different computing architectures (minimum 1 year). Remote work from anywhere in the US is possible, with occasional office visits. Up to 10% domestic travel may be required for engineering testing.

Role overview Blueriver Technologies, Inc. is hiring a Robotics Operations Engineer in Santa Clara, CA to support the See & Spray platform. This position centers on agricultural robotics and automation, shaping how farms use advanced technology in everyday operations. Key responsibilities Optimize robotic systems to ensure reliable performance in the field Collaborate with engineers and stakeholders to refine See & Spray technology Improve operational workflows for greater system efficiency Contribute to enhancing robotic solutions in real-world agricultural settings Team environment This role joins a group dedicated to practical robotics in agriculture. Team members share ideas, tackle complex challenges, and work together to bring new solutions to life.

Company OverviewAt Dexmate, we are an innovative robotics startup dedicated to developing versatile mobile robots capable of executing intricate manipulation tasks. We are seeking a passionate, skilled, and driven Research Scientist to join our founding team and help propel the capabilities of robotic manipulation. Ideal candidates will possess substantial expertise in machine learning and/or robotics. In this role, you will collaborate with a dynamic team of researchers and engineers, spearheading continual innovation and technological advancements within our organization. This is a full-time, on-site position located in Santa Clara, CA.Key ResponsibilitiesDesign and develop advanced algorithms and methodologies for training AI models to improve robot dexterity.Engage in cutting-edge research across various domains, including Robotics, Reinforcement Learning, Imitation Learning, control systems, and perception.Handle large-scale machine learning systems and conduct extensive model training and fine-tuning.Craft and implement state-of-the-art learning-based algorithms for manipulation, navigation, and control on real robotic platforms.Collaborate with multidisciplinary teams to establish a diverse array of robust manipulation skills for robots.Required QualificationsA Ph.D. in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent research experience.A strong passion for robotics and the development of robotic products.Exceptional analytical, problem-solving, and communication abilities.A minimum of 3 years of experience conducting independent research.In-depth knowledge of state-of-the-art robot learning techniques, including reinforcement learning and imitation learning.A proven track record of research excellence, with publications in leading conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, among others.Proficient in Python programming.Experience with deep learning frameworks such as PyTorch, TensorFlow, or Jax.Hands-on experience with real robot experiments.Familiarity with robot simulation environments, including Isaac Gym, Isaac Sim, SAPIEN, MuJoCo, and Drake.

Are you an inquisitive and hands-on problem solver with a passion for robotics? If so, consider joining Collaborative Robotics as a Robotics Assistant. In this role, you will engage in exciting real-world projects, collaborating with a pioneering team to develop the next generation of collaborative mobile robots.This position offers a remarkable opportunity to gain hands-on experience in a fast-paced startup environment, focusing on robot testing and practical engineering applications!Join us in redefining the future of human-robot interaction.At Collaborative Robotics, we are a team of innovators dedicated to shaping a world where robots seamlessly integrate into daily life, adapting and responding to their environments as trusted companions.This position is based at our headquarters in Santa Clara, CA. Applications will be evaluated on a rolling basis until the position is filled.

Join dexmate, an innovative robotics startup located in Santa Clara, where we are pioneering the development of versatile mobile robots capable of performing intricate manipulation tasks. We seek a passionate and skilled PhD Research Intern to help propel our advancements in robotic manipulation technologies. This is a unique opportunity to collaborate with a dynamic team of researchers and engineers dedicated to driving innovation and technological breakthroughs in the field of robotics. This role is full-time and on-site in Santa Clara, CA.Key ResponsibilitiesDesign and develop cutting-edge algorithms and methodologies for AI model training aimed at enhancing robotic dexterity.Engage in advanced research across various domains including Robotics, Reinforcement Learning, Imitation Learning, Control Systems, and Perception.Manage large-scale machine learning systems, focusing on model training and fine-tuning.Create and implement state-of-the-art learning-based algorithms for manipulation, navigation, and control on actual robotic systems.Collaborate with cross-functional teams to cultivate a diverse range of resilient manipulation skills for our robots.QualificationsCurrently pursuing a PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.Demonstrated passion for robotics and artificial intelligence.Proven research experience in areas such as embodied AI, computer vision, machine learning, and human-AI interaction.Familiarity with deep learning frameworks, particularly PyTorch.Must possess work authorization in the U.S. by the time of hire and maintain it throughout employment.Strong analytical, problem-solving, and communication skills.At least 2 years of independent research experience.In-depth knowledge of state-of-the-art robotic learning techniques, including reinforcement learning and imitation learning.A strong publication record in leading conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, and CVPR.Experience with robot simulators like Isaac Gym, Isaac Sim, SAPIEN, MuJoCo, or Drake.Ability to set up ML experiments and analyze their outcomes effectively.

Join our dynamic team at HackerRank as a Machine Learning Engineer focusing on Evaluation. In this role, you will leverage your expertise in machine learning algorithms to drive the evaluation and enhancement of our innovative coding platform. Collaborate with cross-functional teams to develop robust models and ensure optimal performance across our systems.

Are you passionate about spearheading the certification strategy for state-of-the-art robotic systems designed to meet the highest safety and reliability standards? Do you excel at bridging the gap between engineering, compliance, and practical deployment, transforming intricate safety standards into actionable product strategies? Are you invigorated by overseeing essential programs from inception to completion and collaborating across teams to launch groundbreaking hardware?If this resonates with you, we invite you to become a part of Cobot as our Lead Certification Specialist. In this critical role, you will oversee functional and product safety certification for our next-generation robotic platforms. You will work closely with engineering teams, product managers, and external certification agencies to ensure our systems are meticulously designed, validated, and delivered with safety at their core. Your contributions will be vital in integrating certification processes within our development lifecycle, providing technical rigor, strategic direction, and exceptional execution within a fast-paced, mission-driven team focused on shaping the future of human-robot interaction.Join us in redefining the future of human-robot collaboration.Cobot is a dynamic team of innovators and builders committed to reimagining the future of human-robot interaction. Our vision is to create an environment where robots seamlessly integrate with your surroundings, adapting and responding to your needs.This position is based onsite at our headquarters in Santa Clara, CA.

Join the dynamic team at HackerRank as a Machine Learning Engineer. In this pivotal role, you will design, implement, and optimize machine learning models that enhance our platform's capabilities. Collaborating with cross-functional teams, you'll leverage data-driven insights to tackle complex challenges and drive innovation in technical assessments.As a key player in our hybrid environment, you will have the opportunity to work closely with engineers and product managers, contributing to the development of cutting-edge solutions that empower developers worldwide.

Join PlusAI, a trailblazer in Physical AI, as we revolutionize the future of transportation with our innovative AI-powered virtual driver software for autonomous trucks. With our headquarters nestled in the heart of Silicon Valley and operations spanning the United States and Europe, PlusAI has been recognized by Fast Company as one of the World’s Most Innovative Companies. We collaborate with industry giants like the TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV to expedite the rollout of next-generation autonomous trucks. If you're passionate about making a substantial impact and driving the evolution of autonomy, PlusAI invites you to join our dynamic and rapidly expanding teams.As a Senior Machine Learning Infrastructure Engineer, your role will be pivotal in shaping scalable architectures capable of processing petabytes of data, while optimizing performance for both training and inference stages. You will develop robust pipelines for effective model versioning and experiment tracking systems, which are crucial for ensuring reproducibility across various experiments. Furthermore, you will oversee the management of extensive GPU clusters. This position provides exceptional opportunities—both technically and professionally—for individuals eager to tackle complex challenges using cutting-edge cloud-native technologies. Ideal candidates exhibit proficiency in tools like Docker, orchestrated through Kubernetes, and are adept at integrating state-of-the-art deep learning frameworks such as PyTorch and TensorFlow. If you're excited to explore the frontiers of machine learning infrastructure and contribute to pioneering solutions, we encourage you to apply!

Join our dynamic team at HackerRank as a Machine Learning Engineer! In this pivotal role, you'll be responsible for designing and implementing machine learning models that enhance our platform's capabilities. Collaborate with cross-functional teams to leverage data-driven insights, improve user experiences, and contribute to innovative solutions in the tech industry.

Join plus-2 as a Senior Machine Learning Engineer specializing in Perception. In this pivotal role, you will leverage your deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor data, particularly LiDAR. Your primary focus will be on designing robust and scalable perception algorithms that integrate information from various sensors, including cameras, LiDAR, and radar, to enhance autonomous driving capabilities and facilitate 3D scene understanding.

Company OverviewDexmate is an innovative robotics startup focused on developing versatile mobile robots capable of performing intricate manipulation tasks. We are seeking talented, passionate, and imaginative engineers to join our founding team and help enhance the manipulation capabilities of our robots. This is a full-time, on-site position based in Santa Clara, California.Key ResponsibilitiesDesign and develop both frontend and backend components for the robot management portal.Implement robust user authentication and authorization systems.Create intuitive interfaces for collecting and managing robot data.Develop frontend solutions for interacting with AI models.Utilize cloud-based technologies for portal development, incorporating SaaS solutions.Essential QualificationsA minimum of 5 years of experience in full-stack software development.Proficient in systematic programming practices and large-scale project development.Frontend technologies: React, Vue.js, or Svelte.Backend technologies: Node.js, Python, or Rust.Strong experience with database systems (SQL/PostgreSQL).Familiarity with user management systems such as Auth0, Stack Auth, or Firebase Auth.Experience with CI/CD pipelines.Preferred QualificationsKnowledge in robotics or IoT.Understanding of machine learning principles.Skills in data visualization.Experience with cloud platforms (AWS, Azure, GCP).Experience in developing applications utilizing VLM and LLM.

Join ServiceNow as a Principal Machine Learning Engineer focusing on VoIP Infrastructure. In this key role, you will leverage cutting-edge machine learning techniques to enhance our VoIP services, ensuring high availability and superior performance. Collaborate with cross-functional teams to develop innovative solutions that drive business objectives and improve user experiences.

Join PlusAI, a pioneering Physical AI company at the forefront of developing AI-driven virtual driver software for autonomous trucks. Based in Silicon Valley with a global presence, PlusAI has been recognized by Fast Company as one of the World’s Most Innovative Companies. We collaborate with industry leaders including TRATON GROUP’s Scania and MAN, Hyundai Motor Company, and Bosch to revolutionize the future of transportation. If you are eager to make a significant impact and contribute to the evolution of autonomous driving, PlusAI is seeking skilled professionals to enhance our dynamic teams.We are in search of a Senior Machine Learning Engineer specializing in deep learning and data analytics. In this critical role, you will leverage advanced data-driven methodologies to create high-fidelity, scalable vehicle simulation models customized for various platforms. You will work closely with cross-functional teams to propel autonomous driving innovations and advance simulation and modeling capabilities.