Preparing for an interview at Remedy Robotics requires a shift in mindset compared to traditional software companies. You must demonstrate that you can write clean, scalable code while remaining deeply conscious of the physical hardware your software will control.

Technical Rigor & Determinism – You must show a deep understanding of how your code compiles, executes, and utilizes system resources. Focus on demonstrating how to write deterministic, low-latency code that avoids unpredictable behaviors like memory leaks or race conditions.

Hardware Empathy – Show that you understand the physical systems you are writing software for. Be ready to discuss how mechanical backlash, sensor noise, and communication latency affect your software design and how you build mitigation strategies directly into your code.

Safety-First Engineering – In medical robotics, software failure is not an option. Your interviewers will look for a proactive approach to safety, defensive programming, comprehensive unit testing, and robust error-handling states.

Cross-Functional Communication – You will work daily with hardware, mechanical, and clinical teams. You must be able to translate complex software concepts into clear, actionable ideas for non-software stakeholders, and vice versa.

The interview process at Remedy Robotics is designed to evaluate both your deep technical capabilities and your ability to collaborate across multidisciplinary engineering teams. The process is rigorous but highly structured, ensuring that you get a clear picture of the day-to-day engineering challenges while the team assesses your technical fit.

The journey begins with an initial technical screen, typically focused on core software engineering principles, systems programming, or basic robotics concepts. If you pass this stage, you will move on to the virtual onsite loop. This loop consists of deep-dive technical sessions covering real-time systems, software architecture, and practical coding exercises, followed by cross-functional discussions with hardware team members and behavioral conversations with engineering leadership.

Throughout the process, the team values clear communication, a collaborative problem-solving style, and a genuine passion for medical robotics. They are less interested in rote memorization of algorithms and far more focused on how you reason through complex, open-ended engineering trade-offs under realistic physical constraints.

The timeline shown above outlines the typical progression from your initial contact to a final offer. You should use this timeline to pace your preparation, focusing first on core coding and systems fundamentals before moving on to complex system architecture and cross-functional scenario prep. While the process generally moves quickly, the exact timing can vary depending on team availability and the specific technical domain.

To succeed at Remedy Robotics, you must excel in several specialized technical domains. Below is a detailed breakdown of the primary areas you will be evaluated on during your technical interviews.

Real-Time Systems & Systems Programming

This evaluation area focuses on your ability to write software that interacts directly with the operating system and hardware. You must demonstrate that you can build highly performant systems that meet strict timing guarantees.

Be ready to go over:

• Memory Management – Techniques for avoiding dynamic allocation, understanding heap vs. stack, and using custom memory allocators or object pools.
• Concurrency & Multithreading – Designing lock-free data structures, avoiding deadlocks, managing thread priorities, and utilizing condition variables.
• Low-Level I/O – Interfacing with hardware communication protocols such as CAN bus, EtherCAT, SPI, I2C, and serial communication.
• Advanced concepts – Real-time kernel configurations, interrupt service routines (ISRs), cache coherency, and CPU pinning for performance isolation.

Example questions or scenarios:

• "Design a thread-safe telemetry queue that allows a high-frequency control thread to log data without blocking on disk write operations."
• "How would you debug a sporadic 10-millisecond latency spike in a control loop that is supposed to run consistently at 1kHz?"

Robotics Autonomy & Control Loops

This area assesses your understanding of how to make a physical robot move safely and intelligently. You will need to show how you translate physical kinematics and sensor feedback into stable, closed-loop software systems.

Be ready to go over:

• Control Systems – Implementing and discretizing PID controllers, handling actuator saturation (windup), and feedforward control.
• Path Planning & Navigation – Algorithms for planning safe trajectories through constrained spaces, such as blood vessels, under high deformation.
• State Estimation & Filtering – Applying low-pass filters, Kalman filters, or complementary filters to noisy sensor data.
• Advanced concepts – Model predictive control (MPC), active constraint enforcement (virtual fixtures), and continuum robot kinematics.

Example questions or scenarios:

• "Implement a software-based safety check that detects if a stepper motor has stalled or missed steps using only encoder feedback."
• "How would you design a path-tracking algorithm for a flexible catheter that must navigate a highly tortuous arterial pathway?"

Hardware-Software Integration & Architecture

This area evaluates your ability to design clean, modular software systems that abstract away hardware complexities while remaining highly testable and robust.

Be ready to go over:

• State Machine Design – Designing deterministic finite state machines (FSMs) to manage complex hardware states, errors, and user interventions.
• Hardware Abstraction Layers (HAL) – Architecting clean interfaces that allow you to swap physical hardware drivers for simulated environments.
• Testing & Simulation – Designing automated unit tests, software-in-the-loop (SIL) simulations, and mock interfaces for rapid development.
• Advanced concepts – Distributed systems architecture in robotics, pub/sub messaging patterns (e.g., ROS2, Zenoh), and safety-critical software redundancy.

Example questions or scenarios:

• "Architect a software system for a surgical robot that ensures the motors instantly depower if the main application software crashes or hangs."
• "How would you structure your codebase to allow developers to run and test the entire robotic control stack on their personal laptops without physical hardware?"