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Software Infrastructure Engineer

Company Overview

Reflex Robotics is building affordable ($10k) humanoid robots to automate dangerous and repetitive tasks in manufacturing / logistics. We envision a future where everyone has their own “RobotGPT” that can do the boring stuff and help them focus on more fulfilling work.

We are a two-year old startup backed by Khosla Ventures, with $60m/year of revenue lined up pending successful pilots with e-commerce warehouses in 2024. 

How does it work?

Our robots are designed & built in-house by an engineering team that led development of the Stretch robot at Boston Dynamics & key parts of the Model S,X,Y production line at Tesla. Reflex robots are high-performance, low-inertia, and designed for low-cost manufacturing.

We've also built a tele-operation system by which someone far away can basically “play a video game” and control the robots in real-time. This lets us do a LOT of tasks on day one, increase autonomy over time, and still have remote operators as needed to ensure that our robots don't make mistakes.

Key company beliefs

  • Having high quality proprietary data is the key to building generational AI companies. Tesla FSD has 1B+ miles of driver data & ChatGPT has the whole internet - but there is no good dataset in robotics.

  • It is pointless to focus on overly academic things (e.g. maximal torque density, 0.1mm actuator precision, getting bipedal robots to walk) instead of actual usefulness to customers.

  • Human prosperity increases super-linearly with increased automation. Freedom from dull & repetitive tasks allows us to focus on more rewarding pursuits.

  • An insane work ethic is necessary for outsized success.

Engineering At Reflex:

Reflex is uncompromising on building a world-class engineering team. Our team has shipped material handling robots at Boston Dynamics, packaging and home robots at Amazon, drones deployed in Ukraine at Skydio, and nm-scale lithography control at ASML.

We strongly believe in providing engineers with the autonomy to make decisions and see them through. This has allowed each person on our engineering team to be independently obsessed with improving the product and has fostered a work culture that is every bit as intense as it is rewarding.

The Role:

There’s a lot of work that goes into deploying a fleet of robots that can reliably do useful work at multiple customer sites shift after shift, day after day. As we deploy hundreds of robots over the next year, we need to double down on building great infrastructure and internal tooling to maximize the impact of our engineering efforts.

This involves building and managing:

  • Internal visualization tools (e.g. using Rerun) to debug issues and enhance system observability

  • Tools to auto-upload new ML models to our bots each day, using benchmarks from learned simulators (world models) to check for regressions

  • Data ingestion pipelines and cloud services to host all of our robot data from the field to enable training our models

  • Remote monitoring and diagnostics tools and dashboards to keep us informed of the status of our fleet

  • Deployment infrastructure like feature flags and progressive roll-outs to ensure smooth deployment of new software and firmware updates

This role would be a great fit if you:

  • have shipped real robots or complex software+hardware products in the past

  • pride yourself on writing robust code that the team can rely on for years

  • understand the industry best-practices and also how to best apply them under changing needs

We primarily use C++, with some Python for prototyping. We don’t use ROS.

You’d be joining at a time when there’s working hardware, working remote-operation software, and a qualified set of pilot customers – the company is de-risked enough to see the hazy outlines of success, but not so large that there’s no remaining upside.

Come join us!

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Infrastructure Engineer, Reflex Robotics

As a Software Infrastructure Engineer at Reflex Robotics in the vibrant city of NYC, you'll be jumping into an exciting space where technology meets real-world challenges. Reflex Robotics is at the forefront of creating affordable humanoid robots designed to automate those tedious tasks in manufacturing and logistics. The company's goal is to make intelligent robots accessible, envisioning a future where everyone can have their own 'RobotGPT' to handle the dull repetitive work while humans focus on more fulfilling tasks. In this role, you'll be involved in building a robust infrastructure that supports the deployment of our cutting-edge robots. This includes creating internal visualization tools to debug issues, developing automated pipelines for machine learning model integration, and designing remote monitoring systems to keep our fleets in prime condition. If you take pride in writing reliable code for innovative software and hardware products, this position could be your next big adventure! Plus, as part of a strong engineering team comprised of veterans from Boston Dynamics and Tesla, you'll be empowered to make significant decisions and truly impact the products we create. If you're someone who thrives on solving complex problems, adapting to change, and pushing the envelope in technology, we'd love to invite you to come join us at Reflex Robotics and help shape the future of automation.

Frequently Asked Questions (FAQs) for Software Infrastructure Engineer Role at Reflex Robotics
What are the responsibilities of a Software Infrastructure Engineer at Reflex Robotics?

As a Software Infrastructure Engineer at Reflex Robotics, your core responsibilities will include building and managing internal visualization tools for debugging, automated pipelines for uploading ML models, data ingestion systems for cloud services, and remote monitoring tools for diagnostics. You'll play a crucial role in ensuring that our humanoid robots can perform consistently across various customer sites.

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What qualifications are necessary to become a Software Infrastructure Engineer at Reflex Robotics?

To qualify for the Software Infrastructure Engineer position at Reflex Robotics, candidates should have experience shipping real robots or complex software and hardware products. A strong proficiency in C++ is crucial, along with a good working knowledge of Python for prototyping. The ideal candidate will also be familiar with industry best practices and how to adapt them to meet evolving needs.

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What programming languages are primarily used in the Software Infrastructure Engineer role at Reflex Robotics?

In the Software Infrastructure Engineer role at Reflex Robotics, the primary programming language used is C++. Additionally, there is some use of Python for prototyping purposes. Familiarity with these languages is essential for successful candidates.

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How does Reflex Robotics approach the development of its robotic infrastructure?

Reflex Robotics emphasizes a hands-on, innovative approach in developing its robotic infrastructure. The company focuses on creating robust tools and systems that enhance reliability, observability, and data management, all to maximize the efficiency and effectiveness of its robotic fleet in real-world applications.

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Is experience with ROS required for the Software Infrastructure Engineer position at Reflex Robotics?

No, experience with ROS is not required for the Software Infrastructure Engineer position at Reflex Robotics. The company focuses on building its internal solutions and thrives on creating tailored systems that meet their specific needs rather than relying on existing frameworks.

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Common Interview Questions for Software Infrastructure Engineer
Can you describe your experience with shipping complex software and hardware products?

When answering this question, emphasize specific projects where you contributed to both software and hardware elements, detailing your role in the team, the challenges faced, and solutions implemented. Highlight your adaptability and problem-solving skills throughout the development lifecycle.

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How do you ensure code reliability in software engineering?

Discuss your approach to code reviews, testing procedures, and the importance of documentation. Emphasize your commitment to writing clean, maintainable code and any practices you follow, such as unit testing or continuous integration, that help ensure long-term reliability.

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What strategies would you use to manage internal tooling and infrastructure?

Outline your experience with project management and collaboration tools that you would use to track and improve internal tooling. Discuss how you prioritize stakeholder needs and promote communication throughout the development process to ensure that the infrastructure meets the organization's requirements.

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Why is observability important in robotic deployments?

Discuss the importance of being able to monitor a robot’s performance in real-time for troubleshooting and optimization. Explain how observability helps in data-driven decision-making and contributes to the overall reliability and efficiency of robotic operations.

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What do you understand about remote monitoring and diagnostics for robotic systems?

Share your understanding of how remote monitoring tools can enhance fleet management by providing insights into performance, diagnosing potential issues before they escalate, and facilitating timely interventions. Mention any similar systems you've worked with in the past.

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Describe a situation where you had to adapt best practices to changing requirements.

Provide a specific example illustrating your flexibility. Focus on how you assessed the new requirements, identified necessary changes in practices or processes, and worked with your team to implement those changes effectively.

Join Rise to see the full answer
How do you approach debugging complex systems like robots?

Detail your systematic approach to debugging, such as identifying potential failure points, using visualization tools, and developing hypotheses for problems. Highlight any particular methods or tools you prefer for troubleshooting in robotic systems.

Join Rise to see the full answer
What role do you think data pipelines play in robotic development?

Discuss the significance of data pipelines in training AI models and improving robot performance. Explain how efficient data ingestion and processing can provide feedback loops for continuous improvement and decision-making in robotics.

Join Rise to see the full answer
How would you implement feature flags in a robotic system?

Explain the concept of feature flags and how they can be used to test new functionalities in production environments. Discuss your understanding of best practices such as gradual rollouts, monitoring performance impacts, and safe fallback plans.

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What excites you about working at Reflex Robotics?

Your response should reflect genuine enthusiasm about being part of a cutting-edge robotics company that values innovation and employee autonomy. Mention how the company’s mission aligns with your values and your eagerness to contribute to their goals.

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Founded in Palo Alto California in 2014, Reflex Robotics is a leading developer of affordable robotic tracking systems for video, photography and professional use. At the heart of Reflex Robotics products is the "Reflex AI", a patented intelligent...

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DATE POSTED
April 17, 2025

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