Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time.
Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics
Position
Dyna Robotics is seeking an innovative AI Research Engineer to spearhead the design and development of cutting-edge AI models for dexterous robotic manipulation—a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. In this role, you’ll own the entire AI model lifecycle, from data acquisition and preprocessing through to deployment and real-world performance optimization. Your expertise will play a pivotal role in shaping Dyna Robotics' immediate product milestones and establishing a distinct competitive edge in the robotics industry.
Key Responsibilities
Conduct research and develop novel AI models focused on robotic manipulation
Design and implement scalable data infrastructure to accelerate model and algorithm iteration
Collaborate with cross-functional teams to enhance the capabilities of robotic manipulation systems
Develop and deploy reliable, high-quality robotic software solutions
Establish and monitor metrics to evaluate and improve model performance
Qualifications
Master’s degree or higher in Computer Science, Robotics, or a related field, or equivalent practical experience
At least 3 years of experience in AI and robotics engineering
Proven experience in building end-to-end robotic learning solutions, from data collection to model deployment
Deep understanding of robot learning methods, such as reinforcement learning, imitation learning, variational autoencoders (VAEs), and diffusion models
Proficiency in large-scale data processing and pipeline creation
Knowledge of data integrity challenges and solutions
Strong foundation in Computer Science fundamentals (e.g., operating systems, databases, networking)
Experience with infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform.
Expertise in Python and proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)
Passion for robotics and advancing robotic products
Excellent analytical and problem-solving skills
Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications
Preferred Qualifications
Experience with multi-modal foundation models
High levels of creativity, productivity, and autonomy in research
Familiarity with robotic simulation platforms such as MuJoCo, NVIDIA Isaac, or Drake
Benefits
Competitive salary and equity in a seed-stage venture-backed startup
Comprehensive health, dental, and vision insurance
Flexible work arrangements
Daily catered lunches and dinner with a fully stocked kitchen
Professional growth and development through training, mentorship, and challenging projects
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