Stack develops AI and autonomous systems for enhancing safety and efficiency in trucking transportation industry.

Stack is at the forefront of revolutionizing the trucking transportation industry through advanced autonomous systems and AI technology. As a Staff Engineer or Senior Staff Engineer on the Static World Perception team, you'll play a crucial role in developing and maintaining algorithms that generate road elements governing traffic flow for autonomous vehicles. The role involves integrating various data sources including LiDAR, cameras, GPS, and a priori maps to ensure optimal performance of online map standards.

The position offers an opportunity to work with cutting-edge technology in autonomous driving, specifically focusing on perception and mapping solutions. You'll be responsible for leading technical initiatives, driving cross-functional projects, and contributing to the broader perception organization's direction. The role requires expertise in deep learning, software engineering, and real-time robotic applications.

Stack's commitment to diversity and inclusion creates an environment where innovation thrives across all dimensions of identity. The company's focus on safety, reliability, and efficiency in autonomous systems makes it an ideal place for those passionate about transforming the future of transportation. Working at Stack means being part of a team with decades of experience in deploying real-world systems in demanding environments.

This role is perfect for candidates who excel in both technical leadership and hands-on development, with a strong background in machine learning and autonomous systems. You'll have the opportunity to shape the future of autonomous trucking technology while working with state-of-the-art tools and technologies in a collaborative, innovative environment.

Lead the development of autonomous vehicle perception systems at Stack, focusing on mapping algorithms and real-time robotic applications.

Staff Engineer/Senior Staff Engineer, Static World Perception

Stack develops revolutionary AI and advanced autonomous systems for enhancing safety, reliability, and efficiency in the trucking transportation industry.

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations through cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.

The Autonomy Evaluation team plays a crucial role in measuring the performance of our self-driving system. As a member of this team, you'll be responsible for developing evaluation methods, metrics pipelines, and tooling that directly influence development priorities, system architecture, and operational domain decisions. Your goal will be to provide a reliable, highly differentiable signal for the product development team to optimize and deliver the best possible product.

Key responsibilities include:
- Setting technical direction and aligning stakeholders through strong communication skills
- Staying updated on the latest research in autonomous vehicle performance measurement
- Developing novel methods to overcome limitations in existing performance indicators
- Understanding and measuring various autonomy components (localization, perception, prediction, planning, controls)
- Collaborating with teams to design and develop metrics
- Maintaining and improving a cohesive metrics pipeline
- Ensuring product safety through close collaboration with systems engineers
- Optimizing workflows to create an efficient autonomy development experience
- Writing software for offline simulations and performance measurement

We're looking for candidates with:
- Technical leadership experience in designing and completing multiple projects
- Strong software engineering and algorithm design skills
- Fluency in Python and solid experience with SQL and C++

Join our diverse and inclusive team, where we value entrepreneurship and innovation across all backgrounds. Help us shape the future of autonomous trucking technology and make a significant impact in the transportation industry.

Note: This position may be subject to U.S. national security-related requirements and export control regulations. Candidates may need to meet specific residence, U.S. person status, and/or citizenship criteria.

Senior Software Engineer role in Autonomy Evaluation team at Stack, developing metrics and tools for self-driving systems in the trucking industry.

Senior Software Engineer, Autonomy Evaluation

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations. The ML Training and DevEx team plays a crucial role in providing a reliable, scalable, and user-friendly training framework for Stack AV's modeling needs. This team is also responsible for improving the overall developer experience for ML engineers, building tools for testing, validation, and understanding models and training data. Additionally, they handle model optimization and deployment.

As a member of this team, you'll work on cutting-edge technology incorporating advancements in artificial intelligence, robotics, machine learning, and cloud technologies. You'll be part of a dedicated team with decades of experience in creating and deploying real-world systems for demanding environments.

Key responsibilities include:
- Developing scalable and reliable infrastructure in a fast-paced environment
- Collaborating across teams to build ML infrastructure for multiple customer teams
- Making and articulating design tradeoffs to achieve alignment with other teams
- Working on model training, optimization, and large data processing pipelines

The ideal candidate will have experience with both ML platforms and building ML-based applications, with bonus points for modeling experience. Experience in autonomous vehicles, perception, and decision-making domains is desirable but not required.

Preferred qualifications include:
- Expertise in optimizing GPU performance from Python to CUDA kernel level
- Experience building inference or training loops for large models (ideally with LLM flavor)
- Track record of shipping ML products at scale with business impact
- Ability to build low latency / high throughput batch or stream processing pipelines
- Proficiency in writing readable, high-performance C++
- Prior experience in the autonomous vehicle industry

Stack is committed to diversity and inclusion, fostering a culture of entrepreneurship and innovation across all identities. Join us in shaping the future of autonomous transportation technology!

Join Stack's ML Training and DevEx team to develop cutting-edge AI and autonomous systems for the trucking industry.

ML Training and DevEx Engineer

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations through cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.

As a Staff Software Engineer on the tracking team, you'll play a crucial role in delivering ML solutions for tracking problems in self-driving systems. You'll work on state-of-the-art closed- and open-world tracking systems for L4 self-driving vehicles, contributing to the technical direction of both the tracking team and the broader perception organization.

Your responsibilities will include:
- Developing robust software for real-time, resource-constrained, safety-critical applications
- Driving cross-functional features from problem statement to delivery
- Proactively identifying and improving limitations in the existing tracking system
- Aligning stakeholders through strong presentation and communication skills
- Leading challenging technical topics and building consensus

To excel in this role, you should have:
- Extensive experience in architecting, training, and deploying deep learning models in real-world environments
- A track record of driving applied research projects from conception to completion
- Experience delivering perception/tracking solutions for real-time robotic applications
- Strong knowledge of advanced probabilistic algorithms for solving problems with uncertain inputs and imperfect models
- Solid software engineering and algorithm design skills
- Fluency in Python and experience with C++

Join Stack and be part of a diverse, inclusive team that values entrepreneurship and innovation. We're committed to building a culture that embraces differences across gender, race, age, sexual orientation, religion, disability, and identity. If you're passionate about pushing the boundaries of autonomous technology and want to make a significant impact on the future of transportation, this could be the perfect opportunity for you.

Staff Software Engineer role at Stack, developing ML solutions for tracking in autonomous vehicles.

Staff Software Engineer - Tracking

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our technology integrates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions that enhance safety, reliability, and efficiency in modern operations.

We are seeking an experienced Developer Experience Engineer to join our team. This role is perfect for someone who is passionate about working with software engineers across the organization to implement efficient, robust, and developer-friendly workflows for delivering state-of-the-art software for self-driving systems. The ideal candidate should have a keen eye for identifying and fixing inefficiencies in the system.

Key responsibilities include:
- Developing, maintaining, and optimizing build and devtools infrastructure
- Collaborating with engineers to understand their needs and automate time-consuming tasks
- Implementing metrics systems to drive development and ensure internal SLAs are met
- Proactively identifying and prioritizing inefficiencies in the developer experience
- Documenting and communicating new solutions
- Participating in code reviews and contributing to software projects
- Staying updated with the latest developments in build systems and devtools
- Fostering a culture of software engineering excellence and learning

Qualifications:
- Strong customer-oriented development approach
- Excellent communication and collaboration skills
- Experience with Bazel (huge plus)
- Experience with CI/CD systems at scale
- Fluency in modern programming languages (Python, C++, Go, Java, or Rust)
- Track record of improving developer solutions
- Experience in developing and shipping developer-facing products
- Strong problem-solving and troubleshooting skills

Join Stack and be part of a diverse team committed to innovation and inclusion. This role may be subject to U.S. national security requirements, including export control regulations. Stack is an equal opportunity workplace and values diversity across all dimensions.

Experienced Developer Experience Engineer needed to optimize workflows for self-driving systems software development at Stack.

Developer Experience Engineer

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our technology integrates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions that enhance safety, reliability, and efficiency in modern operations.

As a member of the Data Platform team within the Platform Infrastructure Engineering and Reliability group, you'll play a crucial role in designing, implementing, and maintaining Stack's on-premises data platform. This platform supports large-scale OLAP/OLTP and feature engineering workloads for multiple Product Development groups across the company.

Your responsibilities will include:
- Designing and implementing a highly-available and scalable data infrastructure
- Engaging in requirements gathering and design processes
- Providing production-grade support to internal engineering teams
- Collaborating cross-functionally to meet customer use cases and deliver business value
- Automating routine tasks and creating proactive alert systems
- Contributing to open-source projects and working with outside vendors
- Implementing security best practices and troubleshooting performance issues

This role offers an exciting opportunity to work with cutting-edge technologies in the autonomous vehicle industry, contribute to open-source projects, and shape the future of transportation. Join our diverse and inclusive team, where innovation and entrepreneurship are valued, and make a significant impact in the field of autonomous systems.

Senior Data Platform Engineer for Stack's autonomous vehicle technology, focusing on large-scale OLAP/OLTP and feature engineering workloads.

Senior Data Platform Engineer

Stack is developing revolutionary AI and advanced autonomous systems for enhancing safety, reliability, and efficiency in the trucking transportation industry.

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to enhance safety, reliability, and efficiency of modern operations.

As a DevOps Engineer at Stack, you'll play a crucial role in designing, developing, and deploying automation solutions across our systems. Your responsibilities will include:

1. Designing and implementing CI/CD pipelines for software builds, testing, and deployment.
2. Orchestrating deployments and monitoring applications within Kubernetes infrastructure.
3. Developing infrastructure as code (IaC) using Terraform for efficient cloud resource management.
4. Creating and managing Ansible playbooks for configuration management across diverse environments.
5. Setting up monitoring solutions and logging frameworks to track system performance and proactively detect issues.
6. Implementing version control systems and performing code reviews to maintain high coding standards.
7. Troubleshooting and resolving issues related to Kubernetes deployments and configurations.
8. Mentoring team members and sharing best practices in infrastructure automation.

This role offers an exciting opportunity to work with cutting-edge technologies in a dynamic, fast-paced environment. You'll be part of a team dedicated to pushing the boundaries of autonomous technology in the trucking industry. With a competitive salary range and a hybrid work model, Stack provides an excellent platform for career growth and work-life balance.

Join us in shaping the future of transportation technology and be part of a diverse, inclusive team that values innovation and entrepreneurship.

DevOps Engineer role at Stack, developing AI and autonomous systems for the trucking industry, focusing on automation and infrastructure management.

DevOps Engineer

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations. We leverage cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions tailored to the unique demands of the trucking industry.

The ML Training and DevEx team at Stack is responsible for providing a reliable, scalable, and user-friendly training framework for the modeling needs of Stack AV. This team also focuses on improving the overall developer experience for ML engineers by building tools for testing, validation, and understanding models and the data used to train them. Additionally, they handle model optimization and deployment.

As a member of this team, you'll be working in a fast-paced environment, building scalable and reliable infrastructure. You'll need to collaborate across teams and have experience with ML platforms and applications. Key skills include a deep understanding of design tradeoffs, the ability to articulate these tradeoffs, and experience with model training, optimization, or large data processing pipelines.

Preferred experiences include expertise in GPU optimization, building inference or training loops for large models, shipping ML products at scale, creating low latency/high throughput processing pipelines, writing high-performance C++, and prior autonomous vehicle experience.

Stack is committed to diversity and inclusion, believing that diverse teams produce the best ideas and outcomes. We welcome applicants from all backgrounds and identities, fostering a culture of inclusion, entrepreneurship, and innovation.

Join Stack and be part of a team that's shaping the future of autonomous transportation!

Join Stack's ML Training and DevEx team to develop AI and autonomous systems for the trucking industry, focusing on scalable ML infrastructure and developer experience.

Stack develops revolutionary AI and advanced autonomous systems for enhancing safety, reliability, and efficiency in modern trucking operations.

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking industry. Our technology integrates cutting-edge AI, robotics, machine learning, and cloud technologies to create innovative solutions that address the unique challenges of modern trucking operations. 

We're seeking a visionary and hands-on technical lead for our ML acceleration team within the ML Platform org. This role will be crucial in designing the architecture and leading a team to automate the optimization and deployment of complex ML models, including transformer-based models like VLMs, for next-gen AI Autonomous Vehicle applications.

The ideal candidate will have a deep understanding of GPUs and optimization, coupled with excellent leadership skills. You'll be responsible for analyzing and profiling ML models, implementing optimizations using CUDA, Triton, and custom kernels, and automating the process of exporting models to optimized formats like TensorRT.

Key responsibilities include collaborating with ML researchers to balance model accuracy and speed, leading cross-team projects related to model optimization and deployment, and setting a culture of engineering excellence within the team.

This role offers an exciting opportunity to work at the intersection of AI, autonomous vehicles, and high-performance computing. You'll be part of a team dedicated to pushing the boundaries of what's possible in autonomous trucking, working with cutting-edge technologies and solving complex challenges that have real-world impact.

Join Stack and be part of a diverse, inclusive team that values entrepreneurship and innovation. Together, we're shaping the future of transportation with advanced AI and autonomous systems.

Technical Lead for ML Acceleration Team at Stack, developing AI and autonomous systems for trucking industry

Technical Lead, ML Acceleration

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations through cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.

The Autonomy Evaluation team plays a crucial role in measuring the performance of our self-driving system. As a member of this team, you'll be responsible for developing evaluation methods, metrics pipelines, and tooling that directly influence development priorities, system architecture, and operational domain decisions. Your goal will be to provide a reliable, highly differentiable signal for the product development team to optimize and deliver the best possible product.

Key responsibilities include:
- Setting technical direction and aligning stakeholders through strong communication skills
- Staying updated on the latest research in autonomous vehicle performance measurement
- Developing novel methods to overcome limitations in existing performance indicators
- Understanding and improving various autonomy components (localization, perception, prediction, planning, controls)
- Collaborating with teams to design and develop metrics
- Maintaining and improving a cohesive metrics pipeline
- Ensuring product safety through close collaboration with systems engineers
- Optimizing workflows to create an efficient autonomy development experience
- Writing software for offline simulations and performance measure computation

We're looking for candidates with:
- Technical leadership experience in designing and completing multiple projects
- Strong software engineering and algorithm design skills
- Fluency in Python and solid experience with SQL and C++

Join our diverse and inclusive team, where we value entrepreneurship and innovation across all backgrounds. Help us shape the future of autonomous trucking technology at Stack!

Senior Software Engineer role in Autonomy Evaluation team at Stack, developing AI and autonomous systems for trucking industry.

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions that enhance safety, reliability, and efficiency of modern operations.

We are seeking an experienced and hands-on engineer for our ML acceleration team within the training and deployment team, part of the ML Platform org at Stack AV. This role is crucial in developing and optimizing the platform that enables our AI team to build, optimize, test, and deploy models on autonomous vehicles.

As an ML Acceleration Engineer, you will be responsible for analyzing and profiling ML models, implementing optimizations using CUDA, Triton, and custom kernels, and automating the process of exporting models to optimized formats like TensorRT. You'll work closely with ML researchers to balance model accuracy and speed, and collaborate with cross-functional teams to understand data requirements and design appropriate solutions.

The ideal candidate will have a deep understanding of GPUs and optimization, excellent collaboration skills, and the ability to drive technical excellence. This role offers an opportunity to work with cutting-edge technologies in the autonomous vehicle industry and make a significant impact on the future of transportation.

Join Stack and be part of a team dedicated to creating an autonomous solution ecosystem tailored to the unique demands of the trucking industry. We offer a diverse and inclusive work environment that values entrepreneurship and innovation across all backgrounds and identities.

Note: This position may be subject to U.S. national security-related requirements and export control regulations. Candidates may need to meet specific residence, U.S. person status, and/or citizenship criteria.

Senior ML Acceleration Engineer for Stack's autonomous vehicle technology, optimizing ML models for deployment on autonomous trucks.

Senior ML Acceleration Engineer

Stack is at the forefront of developing revolutionary AI and advanced autonomous systems for the trucking transportation industry. Our mission is to enhance safety, reliability, and efficiency in modern operations through cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.

As a Staff Software Engineer on the tracking team, you'll play a crucial role in delivering ML solutions for tracking problems in self-driving systems. You'll work on state-of-the-art closed- and open-world tracking systems for L4 self-driving vehicles, contributing to the technical direction of both the tracking team and the broader perception organization.

Your responsibilities will include writing robust software for real-time, resource-constrained, safety-critical applications, driving cross-functional features from problem statement to delivery, and proactively identifying and improving limitations in the existing tracking system. You'll also lead challenging technical topics, build consensus, and align stakeholders through strong presentation and communication skills.

The ideal candidate will have extensive experience in architecting, training, and deploying deep learning models in real-world environments, as well as a track record of driving applied research projects from conception to completion. Knowledge of advanced probabilistic algorithms for solving problems with uncertain inputs and imperfect models is crucial, as is strong experience in software engineering and algorithm design.

Join our diverse and inclusive team, where we value entrepreneurship and innovation across all backgrounds. Help us shape the future of autonomous trucking technology and make a significant impact on the transportation industry.

Staff Software Engineer

Stack is focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm. Their solutions are designed to navigate and understand the world with unprecedented safety, reliability, and efficiency, transforming how modern industries operate.

At Stack, we are focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm. Our solutions are designed to navigate and understand the world with unprecedented safety, reliability, and efficiency, transforming how modern industries operate. Our decades of expertise spans diverse AI applications reflecting our commitment to exploring new frontiers and delivering excellence in AI technology.

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.

As a Staff Software Engineer, Autonomy Performance Evaluation TL, you will:
- Help set the technical direction for the team and work cross-functionally to align stakeholders and customer teams with strong presentation and communication skills.
- Stay up to date on the latest research literature for measuring autonomous vehicle performance and incorporate state of the art approaches into the team's roadmap.
- Identify the limitations of existing autonomy performance indicators and develop novel methods to push through local minima.
- Understand the inner workings of the various autonomy components (localization, perception, prediction, planning, controls, etc.) and help develop a cohesive strategy for measuring and progressing the self-driving system. Work closely with each of those teams to help design and develop metrics.
- Improve and maintain a cohesive metrics pipeline that works across all autonomy teams.
- Work closely with systems engineers to ensure a safe, well tested product is delivered.
- Identify bottlenecks and developer pain points and optimize workflows to help create the most efficient autonomy development experience in the industry.
- Write software to run offline simulations, compute autonomy performance measures and aggregate/visualize results.

Join Stack and be part of a team that's pushing the boundaries of AI technology in the physical world, creating safer and more efficient solutions for modern industries.

Staff Software Engineer role at Stack, leading Autonomy Performance Evaluation for self-driving systems. Develop metrics, tooling, and strategies to optimize autonomous vehicle performance.

Staff Software Engineer, Autonomy Performance Evaluation TL

Stack is focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm.

At Stack, we are focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm. Our solutions are designed to navigate and understand the world with unprecedented safety, reliability, and efficiency, transforming how modern industries operate. Our decades of expertise spans diverse AI applications reflecting our commitment to exploring new frontiers and delivering excellence in AI technology.

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.

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.

Key responsibilities and requirements include:
- Data Platform engineering focus, supporting large scale interactive and batch workloads
- Expert level understanding of Data Engineering concepts and open source technologies
- Experience running a modern data stack on-premises using open source technologies
- Fluency in Python and SQL, with experience in Trino and Apache Spark
- Strong focus on requirements gathering and overall design process
- Experience with workflow orchestration systems
- Focus on providing production-grade service through observability, instrumentation, and well-defined SLOs
- Experience working in diverse and distributed teams, with cross-functional collaboration

Join us in building the future of AI technology and transforming how modern industries operate!

Senior Software Engineer, Data Platform at Stack - Join our AI-focused team to develop advanced data platforms and transform industries.

Stack Engineering Jobs

Stack develops AI and autonomous systems for enhancing safety and efficiency in trucking transportation industry.