Define system architectures and requirements for remote operation, fleet orchestration, and mapping systems.
Establish and validate system performance targets using data pipelines, simulation environments, and verification campaigns.
Collaborate across autonomy, software, AI, and operations teams to improve system performance and safety.
They develop autonomous vehicle technology for safe, reliable robotaxi operations. The environment is fast-paced, highly technical, multidisciplinary, and focused on bringing advanced autonomous vehicle technology into real-world use.
Define and maintain the integrated robotaxi program plan, spanning autonomy, vehicle hardware, safety, fleet operations, and commercial launch readiness.
Own program-level risk management, surfacing issues early with data-backed options and ensuring every dependency has a clear owner and ETA.
Drive launch and market-readiness planning across vehicle readiness, ODD coverage, safety validation, site/facility readiness, and regulatory requirements.
Waabi is a leader in Physical AI, founded by AI visionary Raquel Urtasun, building autonomous driving technology for commercial trucks and robotaxis. The company is backed by world leaders in AI, automotive, logistics, and deep tech, with offices in Toronto, San Francisco, Dallas, and Pittsburgh and a rapidly growing, collaborative team.
Own development of test plans, procedures, and test cases for mission autonomy subsystems.
Establish and maintain traceability between requirements, test cases, and procedures.
Collaborate cross-functionally to integrate and verify autonomous flight systems.
The company develops advanced autonomous flight systems for commercial and defense aviation in a safety-critical aerospace environment. It is a small, agile startup with a collaborative culture focused on rapid iteration and certification readiness.
You will own program execution for platform software across hardware platforms.
You will build integrated plans, dependency maps, and executive risk reporting.
You will coordinate bring-up, releases, and test campaigns across engineering teams.
Waabi is the leader in Physical AI, founded by AI visionary Raquel Urtasun, developing autonomous truck and robotaxi technology. The growing company has offices across North America and backing from world leaders in AI, automotive, logistics, and deep tech.
Own the design and evolution of architecture for a critical product area, shaping scalability, security, and maintainability.
Lead transformational work on real-time matching, event-driven services, and CI/CD and observability foundations.
Mentor engineers and partner with ML data scientists to turn complex identity problems into working products.
Veriff is an identity verification platform that uses ML-powered image recognition and facial analysis to verify people in real time. The company has a diverse team across the US, UK, Spain, and Estonia, with backing from major investors and a culture focused on trust and positive impact.
Develop and execute end-to-end automated test coverage for GenAI features using Python and test automation frameworks.
Implement testing strategies for LLM-powered applications, including conversational AI, agentic systems, and prompt testing.
Support evaluation frameworks, adversarial testing, and CI/CD integration to ensure AI reliability, accuracy, and safety.
Anaplan provides an AI-infused scenario planning and analysis platform that helps businesses optimize decision-making. With over 2,400 global customers including Fortune 50 companies, Anaplan fosters a Winning Culture focused on innovation, diversity, and inclusion.
Own end-to-end deployment of autonomous systems in customer environments for mission success.
Analyze field feedback and implement monitoring tools to improve reliability and performance.
Train customer teams and translate technical concepts into actionable workflows.
Field AI develops autonomous systems and Field Foundational Models for deploying robots in unstructured, real-world environments. The company is a close-knit team of experts from leading AI and robotics organizations, focused on bold, high-impact innovation.
Build and operate agents across the testing lifecycle — test design, generation, maintenance, execution and failure triage.
Own the infrastructure that makes agent-driven testing reliable: environments, test data, tool interfaces, guardrails, runtime and cost control.
Define how we measure agent output quality, so teams can trust results instead of hand-reviewing them.
Camunda is the enterprise platform for agentic orchestration, enabling coordination of AI agents, people, and systems across business processes. Trusted by over 700 organizations, we are a fast-growing, fully remote company with a culture of ownership and innovation.
Evaluate software engineering tasks for technical accuracy, realism, and reproducibility.
Investigate codebases, tests, and integration issues to identify technical weaknesses.
Provide clear, actionable feedback that directly improves AI training and evaluation workflows.
Jobgether is an AI-powered job platform that connects candidates to roles through objective, skill-based matching. It focuses on remote and freelance opportunities, with a data-driven recruitment process and a global candidate pool.
Design realistic software engineering challenges to assess AI models' coding abilities.
Build reference solutions and automated verification tests to ensure correctness.
Work independently on a fully remote, contract basis with flexible scheduling.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective, AI-driven reviews. The company focuses on efficient hiring and shares top-fitting candidates directly with employers, with a culture emphasizing data privacy and fair evaluation.
Work with the Product Team to build product prototypes and manage integrations with simulation ecosystems.
Develop deep understanding of customer workflows and contribute to roadmap and quarterly planning.
Translate complex technical and customer needs into clear product direction and communicate across teams.
Parallel Domain provides sensor simulation and reconstruction software for physical AI, enabling autonomous systems to test and validate at scale. The company is a Series B, fully remote team with engineers from top tech companies like Waymo and Google.
Own the design, build, and improvement of Ironclad workflows, approvals, and data across every agreement type.
Build and maintain integrations between Ironclad and HubSpot, Ramp, Hex, and other business systems using APIs.
Develop contract and SLA dashboards, automate manual workflows, and secure AI connections across business systems.
Higgsfield AI builds cutting-edge generative AI video creation tools and creative platforms. It is a fast-scaling company with 30M+ users, powering 390 Fortune 500 brands, and a high-impact, fast-moving team.
Build fullstack features across search, scenario mining, and agentic tooling.
Work directly with model developers and researchers to define and measure success before building.
Own features end-to-end, from shaping ideas to shipping robust, maintainable software at scale.
Wayve builds the leading AI platform for autonomous driving, using an end-to-end approach that lets vehicles learn from real-world experience. They operate across global hubs with a hybrid culture focused on innovation, ownership, and collaboration.
Design and develop scalable, reliable, and maintainable software across the stack.
Partner with product managers to translate requirements into well-architected solutions and own features end-to-end.
Embed automated testing and quality practices across functional, integration, regression, and performance testing.
ServiceNow is an AI platform for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture with a focus on innovation and meaningful work, built on the vision of freeing people from busywork.
Own quality for assigned features through risk-based test approaches and automation.
Build and maintain automated tests across API, UI, and integration layers with CI/CD integration.
Partner with engineers to improve testability and raise quality risks early.
Magnet Forensics is a global leader in digital investigative software that helps acquire, analyze, and share evidence from devices. Serving thousands of customers worldwide, the company is expanding globally and fosters a culture of learning, integrity, and teamwork.
Own test planning and execution for APIs, SDKs, web app, and real-time voice and video integrations.
Build and maintain automated test suites and integrate them into CI/CD pipelines.
Find, document, and track defects while testing reliability and performance under real-world conditions.
Reality Defender is an award-winning cybersecurity company that detects deepfakes and AI-generated media using a patented multi-model approach. Backed by world-class investors, it works with leading enterprises, financial institutions, and governments to prevent malicious use of AI-generated content.
Direct the agent array on production workstreams by decomposing problems into tasks and integrating agent output into shipped software.
Review agent-generated pull requests at volume and depth, identifying correctness, security, and accessibility defects.
Author evaluation suites that make quality measurable using eval-driven development and own end-to-end quality within a FedRAMP-authorized environment.
Granicus provides cloud-based solutions for government communications, website design, meeting management, and records management, serving over 5,500 agencies and 300 million citizens. With a globally distributed team and a culture of transparency and inclusion, Granicus has been recognized on the GovTech 100 list for the past 5 years.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Work closely with CPU architects, RTL designers, and software engineers to develop verification strategies.
Build robust test environments and uncover corner cases in modern out-of-order processors.
Own meaningful portions of the verification effort from test plans to debugging failures.
Tenstorrent is a leader in AI technology, developing high-performance RISC-V CPUs and AI platforms. The company values collaboration, curiosity, and solving hard problems, and is growing its team with contributors of all seniorities.
Build and scale automated data pipelines across analytics, legal, and commissions.
Integrate CRM, billing, and finance systems using custom APIs and data pipelines.
Ship and maintain internal applications and deploy containerized AWS services.
LeanTaaS builds AI-powered software that helps hospitals optimize capacity by reducing wait times and costs. With over $300 million in funding from top investors, the company serves more than 190 health systems and employs a culture focused on innovation and operational excellence.