6 Real-Time Systems Jobs

We are looking for an embedded firmware engineer with strong proficiency in modern C++ (C++17/20) and deep understanding of real-time systems , robotic control theory , and embedded cryptography . The ideal candidate will contribute to the development of high-throughput robotic systems , where deterministic execution, safe memory usage, and advanced mathematical modeling are critical. Core Technical Responsibilities- Modern Embedded C++ Development C++17/20 constructs: constexpr, structured bindings, lambdas with capture, fold expressions Template metaprogramming, CRTP, type traits, and SFINAE-based architecture Zero-overhead abstraction using value categories, move semantics, and static polymorphism Strong STL use: std::variant, std::optional, std::array, std::span, and allocators Custom memory pools, ring buffers, and fixed-size containers for allocation-free runtime Compile-time configuration, traits-based component wiring, and feature toggling Real-Time Robotic Control Logic Cyclic and event-driven schedulers with millisecond- and microsecond-precision resolution Tick-accurate rate-grouped control loops (e.g., 100Hz, 400Hz, 1kHz) Cooperative and preemptive task design with determinism and timing guarantees Latency profiling and jitter minimization via DWT counters or hardware timers FSM/HSM state machine design with real-time transitions and priority resolution Implementation of bounded delay, hard real-time response systems Mathematical Modeling for Robotics Vector/matrix math using Eigen or equivalent expression-template math libraries Coordinate transforms: SE(2)/SE(3), quaternion handling, rotation matrices Kalman filters (EKF/UKF), sensor fusion, prediction pipelines Control systems: PID, state-space control, LQR Jacobian-based kinematics, inverse dynamics, torque models Linear algebra: LU, QR decomposition, eigenvalues/eigenvectors Fixed-point math for deterministic runtime modeling on MCUs Embedded Cryptography & Secure Firmware Symmetric crypto: AES-CTR/GCM, ChaCha20-Poly1305 Asymmetric crypto: ECC (Curve25519), RSA-2048 Hashing and message auth: SHA-256, HMAC, CMAC Secure firmware update pipelines, image signing, anti-rollback logic RNG and nonce strategies for handshake protocols Constant-time algorithm design for side-channel resistance Key management and tamper detection logic Software Architecture and Verification Policy-based and layered architecture for hardware-abstraction, logic, and scheduler decoupling Strong separation of concerns and compile-time interface injection Unit tests with mocks/stubs using GoogleTest, Catch2, or Trompeloeil Static analysis with Clang-Tidy, Cppcheck, and sanitizers (ASan, UBSan) Host-based simulation of embedded control logic with reproducible test cycles Build system mastery with CMake (interface targets, generator expressions, cross-compilation) Preferred Qualifications B.Tech / M.Tech in Embedded Systems, Computer Engineering, Robotics, or Applied Mathematics 3+ years of experience in high-performance real-time firmware development Background in real-time robotics, motion planning, or control systems Exposure to secure systems, embedded cryptographic libraries, or robotics middleware Demonstrated ownership of real-time firmware modules in production or research robots

Technically hands-on with deep expertise in real-time internet or high-scale SaaS application development Product development experience, with at least 2 years in a team leadership role Strong command over Data Structures and Algorithms Exceptional coding skills in Object-Oriented Programming, preferably in Java or Golang Ability to design, build, and scale robust, high-performance systems Proven track record of delivering high-quality code and mentoring engineers

Technically hands-on with deep expertise in real-time internet or high-scale SaaS application development Product development experience, with at least 2 years in a team leadership role Strong command over Data Structures and Algorithms Exceptional coding skills in Object-Oriented Programming, preferably in Java or Golang Ability to design, build, and scale robust, high-performance systems Proven track record of delivering high-quality code and mentoring engineers

Technically hands-on with deep expertise in real-time internet or high-scale SaaS application development Product development experience, with at least 2 years in a team leadership role Strong command over Data Structures and Algorithms Exceptional coding skills in Object-Oriented Programming, preferably in Java or Golang Ability to design, build, and scale robust, high-performance systems Proven track record of delivering high-quality code and mentoring engineers

Embedded Application Development in C and Python Experience with communication protocols: CAN, SPI, I2C, RS232/RS422/RS485, Modbus, TCP/IP Strong understanding of OS and RTOS concepts Proficiency in using various debugging tools

*Design and deploy ML models* to score trader performance, risk exposure, and funding eligibility in real-time. Build AI systems to: * Auto-journal trades and classify PnL events * Detect trader manipulation, bots, or copy trading behavior * Identify high-potential traders early (funding prioritization) Use LLMs and NLP to create smart summaries, trade notes, and insights from user behavior and support queries. Own the *AI infrastructure*, from experimentation to production (Docker, APIs, CI/CD). Collaborate closely with our backend, frontend, and R\&D teams to bring AI features into the trader dashboards and CRM. Constantly explore new AI tools, algorithms, and research relevant to fintech and trading ecosystems. *Ideal Candidate Profile* *4+ years of hands-on experience* in building and deploying ML/AI models in production environments. Solid foundation in *machine learning, deep learning, and statistics*. Expertise with tools like *Python, PyTorch/TensorFlow, Scikit-learn, XGBoost, HuggingFace*, etc. Strong data pipeline and API experience (Airflow, FastAPI/Flask, Pandas, SQL, MongoDB). Comfortable with deploying ML models at scale using *Docker, MLflow, AWS/GCP*. Bonus: Experience in *fintech, trading platforms, fraud detection, or real-time data systems*. Bonus++: Knowledge of reinforcement learning, anomaly detection, or building recommender systems. --- What Youll Build (Example Projects) *Traderscore AI*: A real-time rating engine to predict trader potential and risk based on behavior patterns. *AnomalyBot*: A system that flags suspicious trades and prevents fraud before payout. *Smart Journal*: NLP-powered auto trade logs with emotional sentiment tracking and decision reviews. *TopTraderRadar*: Predictive analytics dashboard to identify breakout talent globally.