Firmware Engineer - II

Job Description

We are hiring an expert-level Embedded Firmware Engineer with 5+ years of hands-on experience in real-time C++ development for high-throughput robotics platforms. The role involves architecting low-latency control systems, mathematically rigorous estimators, and secure firmware logic on deterministic embedded targets using modern C++ (C++17/20/23). This is a critical role for embedded autonomy development, demanding mastery of software architecture, numerical precision, and security robustness.

Core Technical Responsibilities-

Advanced C++ Systems Programming (C++17/20/23)

• Deep understanding of template metaprogramming (variadic, fold expressions, constexpr evaluation)
• Use of CRTP, policy-based design, static interface dispatch
• Custom STL-compliant containers, allocators, and compile-time dataflow
• Scoped RAII, intrusive data structures, deterministic memory systems (no heap)
• Advanced use of std::tuple, std::variant, std::optional, std::bitset, std::span, and metaprogramming utilities
• Static polymorphism, tag dispatching, traits-based compile-time configuration
  
  

Real-Time Scheduling and System Architecture

• Design of cyclic executive frameworks and rate-synchronized control threads
• Event, signal, and time-triggered architecture (TTA) models
• Hard real-time response logic (bounded jitter and latency), DWT-based profiling
• Lock-free ring buffers, MPSC queues, memory barriers, and interrupt-safe containers
• RTOS integration with custom schedulers, zero-overhead task dispatch logic
• Support for layered deterministic execution: low-rate navigation, mid-rate estimation, high-rate control
  
  

Robotics Math & Control Systems

• Rigid body kinematics: transformation trees, link frames, inertia matrices
• Control loop design: PID, cascaded PID, LQR, state-space controllers
• Quaternion and rotation vector math with Eigen or equivalent math engines
• Kalman filters (EKF, UKF), complementary filters, IMU fusion
• Matrix decompositions (LU, QR, SVD), Jacobian computation, motion models
• Analytical vs numerical differentiation for robot joints, manipulators, or flight platforms
• Covariance propagation, Mahalanobis distance checks, anomaly detection filters
  
  

Cryptography and Secure Embedded Design

• Cryptographic primitives: AES-GCM/CTR, ChaCha20, Poly1305, ECC, RSA
• Secure boot, image signing, key attestation, and anti-rollback
• HMAC-SHA256, CMAC-AES, and protocol-safe hash chains
• Key storage, tamper-resistance, nonce usage, and memory scrubbing
• Constant-time implementations, protection against timing, DPA/SPA side-channels
• Lightweight TLS-style handshake for telemetry encryption or OTA control
  
  

Architecture, Tooling, and Testing

• Layered firmware architecture with clean separation: drivers, logic, math, crypto, and interface
• Static scheduling frameworks vs dynamic priority queues (hybrid RT models)
• Unit testing using GoogleTest or Catch2; mocking of deterministic hardware states
• Static and semantic analysis: Clang-Tidy, MISRA, Coverity, Sanitizers
• Host simulation of logic models using abstraction layers and input mocking
• Cross-platform toolchains (ARM GCC, Clang), CMake advanced usage, GitLab CI/CD pipelines
  
  

Preferred Qualifications

• B.Tech / M.Tech / Ph.D. in Embedded Systems, Robotics, Control Engineering, or Computer Science
• 5+ years of experience in real-time embedded firmware on robotics or autonomous systems
• Strong applied mathematics and control systems engineering background
• Track record of contributions to robotics, motion control, or autonomous navigation firmware stacks
• Experience with Eigen, MicroEigen, TinyEKF, mbedTLS, or custom C++ math engines
• Exposure to secure robotic firmware design, SLAM systems, or high-frequency control kernels