About the team:
Materra is on a mission to radically reduce global waste and move to a true circular economy. The team has developed technology that identifies waste material at the molecular level—starting with plastics. Materra works with industry partners to improve the way recycling centers process plastics using AI and robotics, to make recycling more affordable and scalable.
About the Role:
We are looking for a Software Engineer, Edge Systems & Runtime to join our team, focusing on high-performance C++ software and on-device machine learning execution. In this role, you will work on low-latency software pipelines that process multi-sensor data streams and execute deep learning models on edge GPUs.
Your primary focus will be optimizing our production C++ runtime infrastructure, refining memory usage, improving data streaming between host and device, and tuning execution engines to squeeze out low-latency optimizations within single-digit milliseconds.
Key Responsibilities
- Profile and optimize established C++ software pipelines and GPU runtime engines to reduce latency and maximize hardware utilization.
- Refine host-to-device streaming pipelines using efficient memory management patterns (e.g., pinned memory, zero-copy buffers, lock-free queues).
- Deploy, update, and optimize deep learning model execution runtimes (e.g., TensorRT, CUDA, ONNX Runtime) on edge GPUs.
- Enhance asynchronous C++ data streams routing multi-sensor inputs into model inference loops.
- Collaborate with machine learning engineers to ensure smooth handoffs from training pipelines to production C++ runtimes.
Requirements
- Education: Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field.
- Modern C++ Proficiency: 3+ years expertise in modern C++ (C++17/20), including multithreading, asynchronous I/O, IPC, and manual/smart memory management.
- On-Device ML Deployment: 3+ years hands-on experience profiling, compiling, and optimizing deep learning models for edge hardware using TensorRT, CUDA, ONNX, or similar acceleration frameworks.
- Systems Optimization: Proven experience navigating, profiling, and optimizing C++ execution paths under strict, low-latency performance constraints.
Preferred Skills
- Sensor & Hardware Integration: Familiarity with hardware communication APIs, SDKs, or sensor streams (e.g., GigE Vision, GenICam, frame-grabbers, or point clouds).
- Domain Experience: 3+ years exposure to real-time perception systems in robotics, industrial automation, autonomous vehicles, or video processing engines.
- Scripting & Automation: Proficiency in Python for rapid prototyping and system integration.
- Advanced Acceleration: Experience writing custom CUDA kernels, custom TensorRT plugins, or working with real-time OS extensions.
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Skills Required
- Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related technical field.
- 3+ years modern C++ (C++17/20) experience including multithreading, asynchronous I/O, IPC, and memory management.
- 3+ years hands-on experience profiling, compiling, and optimizing deep learning models for edge hardware using TensorRT, CUDA, ONNX, or similar frameworks.
- Proven experience profiling and optimizing C++ execution paths under strict low-latency performance constraints.
- Experience refining host-to-device streaming pipelines and efficient memory management (e.g., pinned memory, zero-copy buffers, lock-free queues).
X, The Moonshot Factory Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about X, The Moonshot Factory and has not been reviewed or approved by X, The Moonshot Factory.
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Fair & Transparent Compensation — Pay is considered competitive for core technical and senior roles, with employer-posted ranges and clear statements that total compensation includes base, bonus, equity, and benefits. Feedback suggests posted bands and explicit structure provide clarity on how pay is constructed.
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Parental & Family Support — Family support is described as generous, including paid parental leave, baby bonding, and transitional support for parents returning to work. Fertility treatments and maternity care are also covered, indicating depth in family-focused provisions.
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Retirement Support — Retirement programs include a 401(k) with a notable company match and immediate vesting of matched funds. Additional financial supports such as student loan reimbursement and coaching strengthen long-term financial security.
X, The Moonshot Factory Insights
What We Do
We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality.
