Benefits:

• Competitive compensation and benefits package (medical/dental/vision)

• Company paid Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Education Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.

Experience Requirements:

• 3+ years of experience in Quality Assurance or test engineering, preferably in robotics, embedded systems, or autonomous systems.

Other Requirements:

• Strong experience designing and implementing software testing methodologies, including unit, integration, system, and acceptance testing.

• Familiarity with robotic simulation tools such as Gazebo or similar.

• Exceptional problem-solving skills and a keen attention to detail.

• Strong communication and collaboration skills to work effectively within a dynamic team environment.

• Proficiency in Python or C++ for test automation and scripting.

• Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.

• Familiarity with Linux-based development environments.

• Experience with version control systems (e.g., Git).

• Familiarity with ROS (Robot Operating System) or similar robotics middleware.

• Experience robustly testing robotic software systems in simulation and data-replay settings that may not be deterministic.

• Experience testing hardware-in-the-loop (HIL) and software-in-the-loop (SIL) systems.

• Knowledge of computer vision and machine learning testing practices.

• Familiarity with safety standards and compliance testing for autonomous systems.

• A background in agricultural technology, industrial automation, or outdoor robotics.

Responsibilities:

• Conduct thorough testing of C++ and Python robotics software applications, including functional, regression, integration, performance, acceptance, and stress testing on amd64 robotic platforms in both simulated and real-world environments.

• Develop and execute comprehensive test plans, test cases, and test scripts to validate software functionality and performance across robotic systems, including embedded software, and cloud-based services.

• Design and implement automated ROS-based testing frameworks for both hardware and software components.

• Drive the integration of QA processes into continuous integration, deployment, and testing (CI/CD/CT) pipelines, ensuring consistency and reliability.

• Identify, document, and track software defects and bugs, working closely with development teams for efficient resolution.

Benefits:

• Competitive compensation and benefits package (medical/dental/vision)

• Company paid Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.

Experience Requirements:

• 5 years of experience designing, implementing, and managing infrastructure for robotics, IoT, or similarly complex systems, with a strong emphasis on build and deployment pipelines.

• 5 years of experience managing Linux-based infrastructure, including system administration of on-premises and cloud environments.

Other Requirements:

• Experience with cloud platforms (e.g., AWS) and databases (PostgreSQL).

• Strong experience with containerization technologies, including Docker.

• Experience with Infrastructure as Code (IaC) tools like Terraform and configuration management tools like Ansible.

• Proficiency with scripting languages such as Bash and Python for automation.

• Proven experience with continuous integration and delivery (CI/CD) models, including setting up and optimizing build systems and workflows (e.g., GitHub Workflows, Jenkins).

• Working knowledge of developer tools, open-source technologies, and cloud services.

• Knowledge of cost, efficiency, and productivity optimization methods for build and deployment processes.

• Ability to clearly communicate complex advanced concepts to both technical and non-technical stakeholders.

• Experience with Ubuntu, ROS, and build systems like CMake, including managing package dependencies and packaging (e.g., Debian, Flatpak).

• Familiarity with SSO, SSL/TLS, and advanced Identity and Access Management (IAM) concepts.

• Ability to create system and architecture diagrams with tools such as mermaid/C4 Model.

• Experience with metrics, telemetry, and observability infrastructure (e.g., Prometheus, Grafana) for monitoring build and system health.

• Familiarity with advanced PostgreSQL database administration best practices, including performance tuning and replication.

• Experience in optimizing build times and managing complex dependency structures.

• Knowledge of tools for profiling and performance metrics of code.

Responsibilities:

• Lead the end-to-end optimization and automation of our software build, packaging, and deployment pipelines for our diverse robot fleet.

• Share ownership of the design, deployment, and ongoing management of our global infrastructure, with a particular focus on optimizing software delivery to edge devices in low-bandwidth, high-latency, lossy networking environments.

• Optimize and manage build systems and processes to decrease build times, resolve circular dependencies, and efficiently manage third-party library integrations.

• Develop and implement advanced deployment pipelines, focusing on build packaging, staging, and robust deployment strategies for our robot fleet.

• Design, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines, leveraging tools like GitHub Workflows to ensure efficient and reliable software releases.

Benefits:

• Play a foundational role at a fast-growing Series A startup that is shaping the future of AI in enterprise workflows.

• Collaborate across Product, ML, and Platform teams, be the bridge between AI logic and scalable execution.

• Build infrastructure that enables real value for large enterprises: low-code, secure, and scalable AI workflows.

• Join a company that's scaling thoughtfully, values developer experience, and moves with agility.

Experience Requirements:

• 4+ years of backend engineering experience (Python preferred).

• Deep expertise in task queues, job orchestration, and distributed systems.

• Hands-on experience with Redis, Celery, RabbitMQ, Celery Beat, and ideally Temporal.

• Experience scaling systems at a startup or in fast-paced environments.

• Strong understanding of deploying, monitoring, and optimizing AI/ML systems in production (infrastructure toolsets and CI/CD practices)

Other Requirements:

• Familiarity with containerization (Docker, Kubernetes), IaC (Terraform), or MLOps pipeline.

Responsibilities:

• Design and implement scalable backend architectures tailored for AI workloads (inference, orchestration, monitoring).

• Manage and optimize distributed job orchestration using Celery, Temporal, RabbitMQ, and Celery Beat.

• Enhance data pipelines and caching strategies using Redis.

• Collaborate closely with ML engineers to integrate models into production, ensuring scalability and reliability.

• Build robust monitoring, observability, retry, and fault tolerance systems around job execution.

Experience Requirements:

• 3+ years of experience in data science, software development, or generative AI.

• Experience with strategic enterprise accounts, preferably Fortune 500.

• Expertise in AI/ML, RAG pipelines, LLM workflows, or large analytic programs.

Other Requirements:

• Eagerness to build a business in a fast-paced environment.

• Ability to travel 10-20% of the time.

Responsibilities:

• Optimize and support solutions within strategic accounts on the Stack AI platform.

• Map requirements and relationships within target enterprise customer offices.

• Pursue opportunities and provide feedback on our go-to-market strategy.

• Forecast and close high-value opportunities.

• Write proposals, pitch stakeholders, and lead product demos.

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.

• PhD in a relevant field.

Experience Requirements:

• Proven experience in machine learning and AI, with a focus on generative models.

• Knowledge of retrieval-augmented generation pipelines and their implementation.

• Strong proficiency in Python and popular machine learning frameworks like TensorFlow or PyTorch.

• Experience with embedding techniques and understanding of their applications in AI models.

• Experience with large-scale ML deployments in a production environment.

Other Requirements:

• Excellent problem-solving skills and the ability to work in fast-paced environments.

• Strong communication and collaboration skills.

• Published research or projects in the field of generative AI, embeddings, or retrieval-augmented generation.

• Contribution to open-source AI/ML projects.

• In-depth knowledge of generative AI hardware, including an understanding of GPU architectures, requirements, and optimization techniques for AI model deployment.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources.

• Work on embedding generation techniques, optimizing them for accuracy and efficiency.

• Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration.

• Collaborate with backend and frontend teams to integrate AI models into products and services.

• We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team.

Experience Requirements:

• Strong proficiency in Python and experience with FastAPI or similar web frameworks.

• Solid understanding of database management, design, and optimization, with hands-on experience in SQL and NoSQL databases (or tools such as Supabase and SQL Alchemy).

• Practical experience with cloud services, particularly AWS, including EC2, S3, RDS, and Lambda.

• Familiarity with Docker, Kubernetes, and other containerization and orchestration tools.

• Proven track record of building and maintaining large-scale backend systems.

Other Requirements:

• Excellent problem-solving skills, attention to detail, and a strong understanding of software engineering principles.

• Effective communication skills and the ability to work collaboratively in a team environment.

• Knowledge of AI models, including understanding their integration and deployment in production environments.

• Experience with retrieval-augmented generation (RAG) pipelines

• Skills in embedding generation and handling large-scale data processing tasks.

• A passion for AI and technology, eager to work in a startup environment where agility and innovation are highly valued.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Develop robust and scalable backend systems.

• Design and manage database infrastructure, ensuring high performance and responsiveness to requests from the front end.

• Integrate new AI models as they are released into our products, and maintain existing ones for optimal performance.

• Work closely with the founding team to align backend development with company goals and user needs.

• Stay ahead of the curve in backend technologies, advocating for best practices and innovative approaches.

Benefits:

• Work at the cutting edge of AI + infrastructure.

• Shape the foundation of our cloud and DevOps practices.

• Join a small, fast-moving team where your work has an immediate impact.

• Hybrid flexibility: collaborate in-person in our San Francisco office (next to Salesforce Park) while enjoying remote days or be fully remote

Experience Requirements:

• 5+ years of experience in DevOps, Cloud, or Infrastructure engineering.

• Strong expertise with Kubernetes, Terraform, Docker, and Infrastructure as Code (IaC).

• Hands-on experience with AWS, Azure, and/or GCP.

• Solid background in CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI, etc.).

• Comfort with scripting/programming (Python, Bash, or similar).

Other Requirements:

• Strong problem-solving and communication skills, with the ability to thrive in a fast-paced startup environment.

• Experience with FluxCD or similar GitOps tools.

• Familiarity with security/compliance frameworks (SOC 2, HIPAA).

• Previous startup experience.

Responsibilities:

• Own cloud infrastructure: Design, implement, and maintain our infrastructure with a strong focus on scalability, security, and cost-efficiency.

• Lead Kubernetes operations: Manage and optimize containerized applications in Kubernetes (deployment, scaling, monitoring, troubleshooting).

• Build automation: Drive Infrastructure as Code to standardize, automate, and improve reliability of environments.

• Streamline CI/CD: Architect and maintain pipelines to accelerate developer productivity and ensure zero-downtime deployments.

• Enable observability & security: Implement monitoring, logging, and alerting and drive compliance best practices.

Experience Requirements:

• Proficiency in React, Next.js, TypeScript, and CSS, with experience in Tailwind CSS being highly desirable.

• Strong understanding of frontend development tools and methodologies.

• Experience with responsive and adaptive design.

• Good understanding of SEO principles and ensuring that the application will adhere to them.

• Experience with backend technologies, understanding how to integrate with various APIs and data sources.

Other Requirements:

• Ability to write clean, readable, and maintainable code.

• Strong problem-solving skills, attention to detail, and a user-centric mindset.

• Excellent communication skills and the ability to work effectively in a collaborative team environment.

• Knowledge of AI models and their application in enhancing frontend functionalities.

• A passion for AI and technology, with an eagerness to work in a dynamic startup environment.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Develop and maintain high-quality user interfaces using React, TypeScript, and CSS.

• Take full ownership of Stack AI's landing page and its subpages, ensuring they effectively communicate our value proposition and product offerings to the global audience.

• Collaborate with backend team to integrate new features seamlessly into the user interface.

• Work closely with the design team to translate visual concepts into functional online experiences.

• Focus on user experience design, creating intuitive and innovative interfaces that meet the needs of our users.

Benefits:

• Unlimited PTO

• Health benefits for you and your dependents

• 12 weeks paid parental leave

• 401(k) program

• Pre-tax commuter, HSA, and FSA benefits

Education Requirements:

• Bachelor’s degree (or higher) in Computer Science, Engineering, or a related field

Experience Requirements:

• 6+ years of professional software development experience

• Proven experience working in startup environments

• Proficiency with TypeScript, Python, and React

• Demonstrated experience building or integrating with AI-powered applications

• Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code, etc.) is required

Other Requirements:

• Must be authorized to work in the U.S. without sponsorship. Visa transfers may be considered.

Responsibilities:

• Build, maintain, and scale full stack applications using TypeScript, React, and Python

• Work on end-to-end features including AI agent interfaces, orchestration layers, and developer-facing tools

• Write and style responsive user interfaces using CSS/SCSS

• Design, build, and document backend services and APIs

• Query and manage relational databases using SQL

Benefits:

• Competitive Compensation

• Flexible Working Hours

• Modern Office Spaces (WeWork)

• Hardware (Apple MacBook, workspace fund)

• English Lessons

Experience Requirements:

• 2+ years in Software Engineer or ML Engineer roles

Other Requirements:

• Deep understanding of Machine Learning theory and practice

• Technical fluency in English

• Great communication skills

• US citizenship/visa not required

Responsibilities:

• Build consumer products and business solutions on top of state-of-the-art language models like OpenAI's GPT

• Take ownership and contribute to key parts of our technology

• Learn and be creative

• Take ownership of ambitious projects

• Work on things that have never been done before

Experience Requirements:

• Any experience level

Experience Requirements:

• 1+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Benefits:

• Offers Equity

• Relocation expenses negotiable

• Medical, dental, vision benefits

• Top of the line hardware - brand new Macbook, monitor, peripherals

• Four weeks Paid Time Off per year

Experience Requirements:

• Strong technical background in software engineering or data science, ideally with prior experience in AI and machine learning

• Ability to write and debug code, e.g. for sample applications or to troubleshoot for customers

• Excellent communicator, both written and verbal, able to explain complex technical concepts to diverse audiences

• Passion for AI and staying up-to-date with the latest developments in the field

• Experience in prototyping and rapid development of software solutions for customers

Other Requirements:

• Commitment to travel and spend time regularly with our team in person (for remote candidates)

Responsibilities:

• Be the face of Freeplay to our customers; lead workshops, prototype solutions, and guide them through implementation.

• Leverage deep understanding of generative AI (LLMs and RAG systems) to show best use of Freeplay.

• Work closely with customers to identify and solve specific challenges using Freeplay and industry best practices.

• Act as owner of customer-facing documentation, ensuring it's simple, comprehensive, up-to-date, and useful.

• Provide top-tier technical support, troubleshooting complex issues and ensuring customers get the most out of our platform.

Other Requirements:

• You just love computers, from the L1 cache, STP packets to NNs.

Responsibilities:

• Ability to work independently on the overarching research goals you're assigned.

• Detailed note taking and documenting your progress, pitfalls and lessons learned from each experiment and iteration.

Benefits:

• equity terms (early exercise, extended exercise)

• learning and growth opportunities

• visa sponsorship

• relocate to San Francisco

• Health, dental, and vision insurance (US) (US only, assume it is for US based employees, as no other country specified for this benefit.) Health insurance and dental insurance, vision insurance provided for employees, only US.

Responsibilities:

• developing, fine-tuning, and operationalizing machine learning models to enhance user experiences

• entirely novel training or architecture developments

• fine-tuning pre-existing models with novel datasets

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

Responsibilities:

• access to our cloud infrastructure for development and deployment

• make our model playgrounds more interactive and help make them more discoverable

• collaborate with a cross-functional team to rapidly iterate and deploy new features

Benefits:

• Interesting and challenging work

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

Experience Requirements:

• Deep experience building distributed compute platforms, preferably with Python

• Strong foundation in managing both cloud and bare metal infrastructure

• Solid understanding of K8s and CI/CD on it

Other Requirements:

• Excellent communication

• Self-starter who executes quickly, takes ownership and constantly seeks improvement

Responsibilities:

• Develop and maintain our core Python platform, which handles routing of requests, orchestration of AI workloads, GPU server capacity management, observability, authentication, rate limiting, and many others

• Develop and maintain our infrastructure layer where we use Terraform, Ansible, and provider APIs to manage our fleet of GPU workers

• Own K8s, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed networking storage, and other technologies that underpin our platform

• Create the vision and lay the foundation for where our infrastructure should go in the next 1/2/5 years

Experience Requirements:

• Deeply experienced in ML performance optimization. You've optimized inference for large-scale generative models in production environments.

• Understand the full ML performance stack. From PyTorch, TensorRT, TransformerEngine, Triton to CUTLASS kernels, you’ve navigated and optimized them all.

• Know inference inside-out. Expert-level familiarity with advanced inference techniques: quantization, kernel authoring, compilation, model parallelism (TP, context/sequence parallel, expert parallel), distributed serving and profiling.

• Lead from the front. You're a respected IC who enjoys getting hands-on with the toughest problems, demonstrating excellence to inspire your team.

Other Requirements:

• Thrive in cross-functional collaboration. Comfortable interfacing closely with applied ML teams, researchers, and stakeholders.

Responsibilities:

• Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions.

• Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations.

• Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques.

• Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies.

• Mentor and scale your team. Coach and expand your team of performance-focused engineers.