Tycho.AI Logo

Tycho.AI

Software Engineer

Reposted 2 Months Ago
Hybrid
Cambridge, MA, USA
Junior
Hybrid
Cambridge, MA, USA
Junior
Design and implement C++ and C real-time software for autonomous aerial and ground systems. Integrate ROS2 and STM32 Cube platforms, work on embedded RTOS, maintain build pipelines with CMake, Docker, and GitHub Actions, and collaborate with hardware and autonomy teams to deliver mission-ready autonomy.
The summary above was generated by AI

About Tycho.AI

Tycho.AI is a venture-backed pioneer in autonomous intelligence for unmanned systems, delivering breakthrough performance at the edge. Led by serial entrepreneurs with successful exits and roots at MIT and Harvard, we design advanced hardware and software as an integrated whole, enabling AI systems that sense, decide, and act in real-time, without dependence on remote infrastructure. Our modular architectures combine advanced sensing, adaptive AI models, and high-performance edge compute to create resilient, mission-ready autonomy. By uniting hardware optimization with cutting-edge algorithms, Tycho.AI is transforming how AI is built, deployed, and sustained in the world’s most demanding operational environments.

If you’re looking to do the most meaningful technical work of your career, in a culture that values bold ideas, fast execution, and real impact, we want you on our team.

What you’ll do:

You’ll work hands-on with embedded systems, robotics frameworks, and cutting-edge autonomy stacks, and grow fast alongside some of the most experienced minds in AI, autonomy, and defense tech.

  • Develop C++ software for autonomous aerial and ground systems

  • Contribute to real-time software for embedded systems using C and RTOS

  • Integrate advanced autonomy using ROS2 and STM32 Cube platforms

  • Help shape our build pipeline with GitHub Actions, Docker, and CMake

  • Collaborate across autonomy, hardware, and product teams to bring new capabilities to life

  • Learn from (and contribute to) a high-velocity, high-integrity engineering culture

What you bring:

  • BS in Engineering or related technical field

  • 2+ years of C++ experience and CMake proficiency for junior engineers, 5+ years for senior engineers

  • Familiarity with embedded C and RTOS environments

  • Exposure to STM32 Cube and ROS2 (or similar middleware)

  • Experience with Git, GitHub Actions, and Docker

  • Passion for robotics, autonomy, and systems that operate in the real world

Bonus points for:

  • Experience with embedded Linux

  • Prior work on autonomous systems or robotic platforms

We’re not just building technology; we’re building a company that moves fast, tackles tough challenges, and supports one another every step of the way. If you’re ready to help shape the future, apply now.

Equal Employment Opportunity (EEO) Statement: Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status.

Pay Transparency Nondiscrimination Provision: Tycho AI will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

E-Verify and Right to Work: Tycho AI participates in E-Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.

Similar Jobs

4 Days Ago
In-Office
Boston, MA, USA
200K-265K Annually
Entry level
200K-265K Annually
Entry level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Designs and implements guidance, navigation, and control algorithms for tracking and planning aircraft trajectories in the National Airspace System. The role applies state estimation, physics, aircraft design, optimization, Monte Carlo validation, and modern software development to safety-critical real-time aviation systems. Engineers collaborate across teams and use LLM tools to improve development workflows and code quality.
Top Skills: Large Language Model ToolsMonte Carlo AnalysisPythonReal-Time OptimizationRustState EstimationTrajectory Prediction
4 Days Ago
In-Office
Boston, MA, USA
135K-265K Annually
Entry level
135K-265K Annually
Entry level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Build software simulators modeling the National Airspace System, including aircraft trajectories, weather, air traffic control, and pilot behavior. Design simulation infrastructure and physics-based models using discrete-time simulation, statistics, algorithms, and Monte Carlo analysis. Develop mission-critical software for aviation decision-support systems and collaborate across teams in a safety-critical environment.
Top Skills: Discrete-Time SimulationLarge Language Model ToolsMonte Carlo AnalysisPhysics-Based ModelingPythonRust
4 Days Ago
In-Office
Boston, MA, USA
135K-265K Annually
Entry level
135K-265K Annually
Entry level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Design, analyze, and implement real-time optimization software for tracking and planning aircraft trajectories across the National Airspace System. Apply operations research, optimization, statistics, data science, and machine learning to mission-critical aviation systems. Develop algorithms using approaches such as linear programming, mixed-integer programming, constraint satisfaction, and greedy optimization. Analyze large datasets, build predictive models, collaborate across teams, and use modern LLM tools to improve development workflows and code quality.
Top Skills: Constraint SatisfactionGreedy AlgorithmsLarge Language Model ToolsLarge-Scale Data AnalysisLinear ProgrammingMachine LearningMixed-Integer Linear ProgrammingPythonRustStatistics

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account