Embedded C++ vs. Rust for Robotics and Autonomy: What to Use in 2025?
As robotics and autonomous vehicle (AV) systems become more intelligent and safety-critical, the programming languages used to build them matter more than ever.
In the embedded world, two frontrunners dominate the conversation in 2025: Embedded C++, the industry veteran, and Rust, the rising force focused on safety and modern tooling.
If you're building the next-gen AV stack or deploying robotics at scale, here’s a fresh look at how these languages compare in the field today.
Performance & Real-Time Control
Embedded C++
Highly optimized for real-time execution, with decades of vendor and industry support
Offers fine-grained control over hardware with minimal runtime overhead
Enables precise performance tuning through mature toolchains and debuggers (GCC, Clang, IAR, SEGGER, etc.)
Rust
Zero-cost abstractions allow for performance speed on par with C++
Ownership-based memory model prevents common bugs like crashes and memory leaks without needing a garbage collector, ideal for real-time systems
Real-time capable with evolving frameworks like RTIC, Embassy, and async support
Winner: C++ remains the go-to for deeply constrained, real-time embedded systems. Rust is catching up quickly, especially for systems with more memory and complexity.
Safety and Reliability
Embedded C++
Powerful but risky: prone to undefined behaviour, memory corruption, and manual memory management
Relies heavily on coding standards like MISRA C++ and AUTOSAR
Rust
Safety built into the language prevents null pointer dereferencing, buffer overflows, and data races at compile time
Enforces strict ownership and lifetime rules
Growing traction for safety-critical certification (ISO 26262, DO-178C)
Winner: Rust is engineered for safety. In domains where reliability is paramount, Rust provides stronger guarantees with less overhead.
Ecosystem and Tooling
Embedded C++
Long-standing dominance in robotics (e.g., ROS, PX4)
Comprehensive support from silicon vendors (ST, NXP, TI)
Industrial-grade toolchains and debuggers (SEGGER, Keil, IAR)
Rust
Rapidly maturing ecosystem (embedded-hal, probe-rs, defmt)
ROS 2 support in development (ros2-rust)
More community-driven than vendor-supported
Winner: C++, for now, has the advantage in production-ready environments and vendor tooling. Rust is ideal for R&D projects and is gaining traction.
Developer Experience
Embedded C++
Steep learning curve with modern C++ idioms and templates
Debugging memory issues can be time-consuming
Familiarity across most embedded engineers
Rust
Clear, modern syntax with helpful compiler feedback
Modern tooling, such as Cargo, simplifies project setup, building, testing, and dependency management
Ownership system enforces discipline early, but comes with a learning curve
Winner: Rust often leads to fewer bugs and easier long-term maintenance, especially for teams willing to climb the initial learning curve.
Adoption in the Field
C++ in Action:
Core to systems at Tesla, Waymo, NVIDIA, and most ROS 2-based robotics
Trusted and tested for AV perception, planning, and control
Rust in Action:
Used by Cruise for safety-critical components
Adopted by companies like Embark Studios, Ferrous Systems, and OxidOS
Gaining popularity in drone firmware, hobby robotics, and AV middleware experimentation
The Future: It’s Not Either/Or
Hybrid architectures are already emerging:
C++ for perception-heavy workloads or deeply optimized control loops
Rust for mission-critical safety controllers, diagnostics, and tooling layers
In 2025, the smarter question isn’t “C++ or Rust?” but “Where does each fit best in your autonomy stack?”
Hiring for Robotics and Autonomy Teams?
If you're scaling embedded systems teams for robotics or AV, the C++ vs. Rust debate isn't just technical - it's strategic; the language you bet on today shapes your hiring pipeline, team velocity, and long-term maintainability.
I’m actively connected with top-tier engineers across both stacks. As a recruiter deeply embedded in this space, I’m seeing a rising demand for Rust-fluent embedded engineers, while senior Embedded C++ talent remains competitive and specialized.
If you’d like to discuss how we can build a team that matches your tech direction, please reach out to: luiza@akkar.com.
Building Infinita Lab - Uber of Materials Testing | Driving the Future of Semiconductors, EV, and Aerospace with R&D Excellence | Collaborated in Gorilla Glass's Invention | Material Scientist
3moRust is the language we all wish we had 10 years ago for safety-critical systems.