Software Engineer - Robotics & Autonomous Systems at Scale AI

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Autonomous Vehicles, Computer VisionIndustries

Requirements

3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy

Responsibilities

Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
Develop tools and systems for robotics data collection, teleoperation, and model evaluation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Build real-time systems for robotic control, sensor fusion, and perception pipelines
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance

Skills

Key technologies and capabilities for this role

PythonNode.jsC++ReactTypeScriptROSROS2AWSTemporalKubernetesDockerMongoDBPostgreSQL

Questions & Answers

Common questions about this position

What is included in the compensation package?

Compensation packages include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries, determined by work location.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Software Engineer role?

Required skills include 3+ years of software engineering experience in robotics, AV, or related fields, strong programming in Python and TypeScript/Node.js, experience with React for 3D interfaces, robotics frameworks like ROS/ROS2, and distributed systems with AWS, Kubernetes.

What is the company culture like for this team?

The role involves collaborating with ML engineers, researchers, and customers, working with high autonomy, delivering features at high velocity while maintaining reliability, and interacting directly with robotics and AV stakeholders.

What makes a strong candidate for this position?

Strong candidates have 3+ years in robotics or AV, proficiency in Python, TypeScript/Node.js, and React, experience with ROS/ROS2 and distributed systems, plus a track record of cross-functional collaboration and high autonomy.

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$1,558.9MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.

Controversial stance on DEI may deter potential talent and partnerships, affecting growth.

Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.

The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.

Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.

Expansion into defense applications opens new revenue streams and strategic partnerships.

Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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