Terranova Logo

Terranova

Controls/Robotics Intern

Reposted 25 Days Ago
In-Office
Berkeley, CA, USA
28-28 Hourly
Internship
In-Office
Berkeley, CA, USA
28-28 Hourly
Internship
Seeking a mechatronics and controls intern to develop control algorithms for robotic systems, integrating modern machine learning and ensuring stability and safety during operation.
The summary above was generated by AI

Company Description

Backed by leading climate and American dynamism investors, Terranova builds intelligent robotic systems to terraform the Earth itself - lifting land, restoring wetlands, and protecting critical infrastructure from floods and sea-level rise.

Our mission is to preserve the built environment, create new habitats, and usher in an era of abundance. Our work supports climate resilience, disaster recovery, and defense across the United States and beyond.

We’re assembling a world-class team that wants to work on something real, physical, and civilization-scale. If you want your work to reshape the world (literally), this is the place to do it.

What to to Expect

We’re seeking a mechatronics and controls intern to develop algorithms that give our robotic systems adaptive, intelligent behavior. You’ll design and tune controllers, build dynamic models, and integrate them with perception and sensor data. This is a chance to bridge classical control with modern machine learning to shape how machines move through the Earth.

Key Responsibilities

  • Develop and tune controllers (PID, MPC, optimal/robust control) for dynamic, nonlinear systems.

  • Build and validate physical models for simulation, hardware-in-the-loop testing, and autonomy.

  • Train and deploy ML models for perception, planning, or adaptive control (supervised or RL).

  • Integrate algorithms with firmware and cloud teams, ensuring real-time safety and stability.

  • Profile, optimize, and verify performance under latency, jitter, and compute constraints

  • Comfortable with the pace and intensity of early-stage startup life

  • Working towards a bachelor’s degree or higher in Computer Science, Robotics or related field

  • U.S. permanent residency required

Preferred Skills and Experience

  • Lots of hobby/personal projects and evidence of being a maker

  • LiDAR integration and use

  • Python/C++ with PyTorch/JAX

  • MPC/OSQP/CasADi

  • EKF/UKF/factor graphs

  • System ID, RL (PPO/SAC) with safety shields

  • ROS2, ONNX/TensorRT

  • Latency and jitter profiling

  • PCB and embedded systems design skills are a huge bonus

Compensation and Timeline

  • $25-35/hr + relocation + company perks

  • Fall Internship from August-December depending on your school schedule

Similar Jobs

Yesterday
Hybrid
Santa Clara, CA, USA
32-61 Hourly
Internship
32-61 Hourly
Internship
Healthtech • Biotech • Pharmaceutical • Manufacturing
Develop, implement, and test control algorithms for robotic surgical systems. Build C++ software for real-time, safety-critical applications, participate in code reviews and debugging, collaborate on software architecture and system requirements, and document algorithms and designs. Work with robotics hardware, kinematics, dynamics, control theory, estimation, perception, AI/ML, and embedded systems in support of the OTTAVA surgical robotic platform.
Top Skills: Ai/MlC++Embedded FirmwareHardware-In-The-Loop TestingPythonRobotics MiddlewareRosSimulation Tools
22 Days Ago
In-Office
South San Francisco, CA, USA
Internship
Internship
Artificial Intelligence • Robotics • Software • Energy • Renewable Energy
Develop motion-planning and control algorithms for outdoor construction robots, deploy them on hardware, benchmark and tune them for robust real-world operation, and integrate them with perception and learning components. Interns own scoped projects, work with mentors, and demonstrate results. Projects may include safe-stop and human-avoidance behaviors or manipulation from moving platforms on rough terrain.
Top Skills: C++Model Predictive Control (Mpc)Motion PlanningOptimization-Based PlanningPythonRobotics HardwareWhole-Body Control
31 Minutes Ago
In-Office
184K-276K Annually
Senior level
184K-276K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead cross-functional maritime autonomy integration programs from concept through production and operational deployment. Manage scope, schedules, budgets, resources, risks, technical performance, integration readiness, testing, customer deliverables, and operational outcomes for USV and future UUV programs. Coordinate engineering, product, operations, executive, international, and customer stakeholders; facilitate reviews and decision-making; remove execution blockers; support proposals and strategic growth initiatives.
Top Skills: Aerospace SystemsAutonomy SoftwareHivemind AutonomySoftware-Enabled SystemsUnmanned Surface Vehicles (Usvs)Unmanned Undersea Vehicles (Uuvs)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account