Acquiring and developing exceptional talent
Meeting our standards of excellence in AI, autonomy, and safety is possible because of ambitious and passionate people like you. Join us as we build the future.
BENEFITS
Healthcare
We provide 100% employer-paid medical, dental, vision, disability, and life insurance benefits to our employees.
401k
We invest in your future by providing a competitive 401k program and match.
Open PTO + Holidays
We believe in taking the time you need when you need it, without arbitrary limits. We recognize 14 paid holidays per year, including a week-long winter break.
Paid Leave
We celebrate and actively support changes in your life that require time off of work. Whether you are welcoming a new child into your family or need time to recover from a medical procedure, we offer paid leave and income replacement programs that ensure you can focus on what matters most. Our leave programs cover medical, military, parental (birth, adoption and foster), civic duty, bereavement and more.
Lifestyle
We provide an annual stipend to support your lifestyle and wellbeing - whatever this means to you. Sign up for a gym membership, purchase home office or exercise equipment, or apply for marathons. It's up to you.
Flexible Work Modes
We recognize that the ideal way of working can vary for different people, so we provide remote, office-based, and flex work modes to ensure employees can do their best work in an environment that feels best for them.
OPEN POSITIONS
General Application (for future consideration)
We are seeking passionate individuals to join our team, driven to develop and deploy advanced AI products that redefine industry standards, making processes safer, faster, and more efficient. If you thrive in fast-paced tech environments and are eager to contribute to transformative AI solutions, we invite you to join us in shaping the future of technology. We are looking for candidates in all roles including Product Development and Engineering, Operations and General & Administrative.
Pittsburgh, PA or Remote
PhD Research Intern, AI
Stack is revolutionizing transportation through AI and is seeking the best and brightest interns to help us realize this vision! As an early-stage start up, we expect our interns to be an integral part of the team, working on robotics research projects that directly impact our product. Along the way, you’ll be provided with opportunities for collaboration and mentorship with industry leaders to accelerate your career and research goals.
Pittsburgh, PA or Remote
Senior Software Engineer, Data Platform
The Data Platform team is part of the Platform Infrastructure Engineering and Reliability group, and is responsible for designing, implementing and maintaining the Stack AV on-premises data platform. The team supports large scale OLAP/OLTP and feature engineering workloads for multiple Product Development groups across the company. The team is tasked with building a highly-available and scalable data infrastructure to power our critical services and pipelines. Members of the team are expected to have a strong focus on requirements gathering and design process to ensure our platform meets the needs of the business and our internal customers.
Pittsburgh, PA or Remote
Senior Software Engineering Manager, Onboard Infrastructure
The Onboard Infrastructure (OI) team is responsible for delivering the on vehicle software infrastructure that supports Stack’s real-time autonomous driving system. The team is composed of seasoned experts in real-time operating system and middleware software development for autonomous applications. The OI team is fundamental to Stack’s ability to deploy safe, reliable, and high performance autonomous driving solutions at scale.
Pittsburgh, PA or Remote
Senior Staff Software Engineer, AI Data Infra Lead
Data is one of the main drivers in the success of any ML company and the autonomous vehicle industry is no exception to this. The AI Data Infra team, part of the ML Platform org of Stack AV, is responsible for storage, access, and curation of the data across the company and across all the ML use cases.
Pittsburgh, PA or Remote
Senior Staff Software Engineer, ML Acceleration Lead
The training and deployment team, part of the ML Platform org at Stack AV, is responsible for the platform that helps the AI team to build models, optimize, test, and deploy them on the autonomous vehicles. We are seeking an experienced, visionary, and hands-on technical lead for our ML acceleration team. This role will be responsible for designing the architecture and leading a team to automate the optimization and deployment on complex ML models (including transformer-based models such as VLM models) for all the next-gen AI Autonomous Vehicle applications in the company. The ideal candidate will have a deep understanding of GPUs and optimization, excellent leadership skills, and the ability to drive technical excellence.
Pittsburgh, PA or Remote
Senior Staff Tech Lead, Perception
The Perception team is looking for a lead to build up a team developing and deploying perception components for next generation self driving systems. This requires developing strong ownership over critical components to being able to understand, experiment, improve, and field state-of-the-art perception systems in real time, safety critical applications. We are focused on building a product so candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction and customer-centric obsession.
Pittsburgh, PA or Remote
Staff ML Engineer, Static World Perception
The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Staff Engineer or Senior Staff Engineer, you will lead the development, maintenance, and enhancement of algorithms and systems to ensure the required performance of the online map standards are met.
Pittsburgh, PA or Remote
Staff Software Engineer, Autonomy Performance Evaluation TL
The Autonomy Evaluation team is responsible for measuring the performance of the self-driving system. This team develops evaluation methods, metrics pipelines and tooling that will be used directly to drive development priorities, system architecture and inform operational domain decisions. The goal is to provide a reliable, highly differentiable signal for the product development team to optimize and use to deliver the best possible product. The team will work to provide a holistic view of the overall autonomy performance.
Pittsburgh, PA or Remote
Staff Software Engineer, Developer Experience
We are looking for an experienced Developer Experience Engineer who is excited to work with software engineers across the org and implement efficient, robust, and developer-friendly workflows for delivering state-of-the-art software for self-driving systems. The ideal candidate is the type of person who notices inefficiencies anywhere in the system and can’t help but fix them.
Pittsburgh, PA or Remote
Staff Software Engineer, ML Acceleration IC
The training and deployment team, part of the ML Platform org at Stack AV, is responsible for the platform that helps the AI team to build models, optimize, test, and deploy them on the autonomous vehicles. We are seeking an experienced and hands-on engineer for our ML acceleration team. The ideal candidate will have a deep understanding of GPUs and optimization, excellent collaboration skills, and the ability to drive technical excellence.
Pittsburgh, PA or Remote
Staff Software Engineer, ML Platform
In the ML Training and DevEx team, our mission is to provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV. In addition, this team is responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them. Finally, this team is responsible for model optimization and deployment.
Pittsburgh, PA or Remote
Staff Software Engineer, Motion Planning ML
We are looking for strong software and machine learning engineers to help in developing and deploying motion planning components for next generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field state-of-the-art motion planning machine learning systems in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset and customer-centric obsession to deliver a compelling product, and be able to work with significant cross-functional interactions.
Pittsburgh, PA or Remote
Staff Software Engineer, Onboard Infrastructure
Be part of a team of engineers who develop robust, scalable onboard infrastructure for our self-driving vehicle systems. This will include developing the core middleware that will accommodate multiple deep learning models and will be deployed on board, as well as in the cloud, for simulation, testing, and verification.
Pittsburgh, PA or Remote
Staff Software Engineer, Tracking
The tracking team is responsible for tracking road actors and road elements as well as estimating a temporally consistent belief of the local scene from a history of detections. As a Staff Software Engineer on this team you will be responsible for delivering ML solutions to tracking problems in a self-driving system; e.g. learning probabilistic actor motion and sensor models, re-identification strategies, information fusion rules, etc.
Pittsburgh, PA or Remote
Technical Support Associate (Contract)
As a Technical Support Associate, you’ll play a critical role in keeping technology running smoothly for our self-driving truck operations. You’ll be the go-to person for troubleshooting and resolving any technical issues that come up, ensuring that our systems are reliable and effective. This support is vital for the success of our operations, helping us stay ahead in the fast-paced world of autonomous vehicles.
Pittsburgh, PA