Software Quality Operations Specialist - Germany/Spain

United States Digital Space LLC; Greater London; On-site; GBP 95,000 - 116,000; Full time

Benefits offered by this job

Annual bonus

Equity incentives

Benefits program

Job summary

the company is seeking a technical specialist to collaborate with Engineering on ML/Gen-AI models and to deploy tools for new market workflows. You will analyze on-road issue trends and develop data-driven strategies for issue discovery and monitoring.

You will also help define SOPs, quality controls, and policy integration for AI outputs, with emphasis on Continental European driving rules and data signals.

Qualifications

• BS/BA in a technical/analytical field or 5+ years in AV/ADAS/robotics/complex software ops.
• Valid driver’s license with on-road driving experience in European metropolitan areas (Germany/Spain frameworks).
• Experience across ML development lifecycle: data prep, training, validation, deployment, monitoring.
• Experience with ML testing/validation, dataset QA, bias detection, edge-case testing, metrics.

Responsibilities

• Partner with Engineering to design, test, and deploy ML/Gen-AI models and tools for new market workflows.
• Use AI-powered insights and triage signals to identify on-road issue trends and risk scenarios.
• Define SOPs and policies integrating AI tools into vendor workflows.
• Design quality control processes for human and AI outputs, especially for European driving rules.

Skills

Machine Learning

Gen-AI

Data analysis

Communication

ML testing

Education

BS/BA in technical field or 5+ years AV/ADAS/robotics

Tools

SQL

3D visualization

Proprietary tools

Job description

the company is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, the company has focused on building the the company Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The the company Driver powers the company’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The the company Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Software Quality Operations (SWQOps) team is at the heart of enabling safe and successful scale-up into new international markets and incubating mission-critical, high-impact workflows. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow the company's autonomous vehicle service.

Why This Team is Essential to the company's Success:

the company is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026, including international expansion to London and Tokyo) and launching new vehicle platforms. SWQOps, especially our Technical Specialists, plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of:

• International RO & New Market Readiness: Concerted effort to update triage policy, standing Voice of Customer in new countries. Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights to Product and Data Science partners.

• Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire the company Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.

• Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows the company's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the the company Driver.

• Workflow Incubation & Development: Incubating high-impact workflows and ensuring readiness for automation and long-term operational excellence.

You will:

• Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Provides technical requirements to Engineering for tooling that supports new market workflows (e.g., localization of ML/Gen-AI models, new data pipelines).

• Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs

• Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.

• Design and implement robust quality control processes for both human and AI-generated outputs. Designs and validates new triage policies, SOPs, and quality control processes specifically for Continental European driving rules and data signals (Germany and Spain).

• Act as the Subject Matter Expert for technical policies and guidelines in the new market. Consult with local/international stakeholders to ensure seamless adoption of technical policies.

• Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.

You have:

• BS/BA degree in a technical or analytical field, or 5+ years of relevant work experience in Autonomous Vehicles (AV), Advanced Driver-Assistance Systems (ADAS), automotive systems engineering, robotics, or complex technical software operations.

• Active, valid driver's license with extensive personal on-road driving experience and a thorough understanding of driving rules, roadway design, and regulations in European metropolitan areas, specifically under the German (StVO) and/or Spanish (DGT) traffic frameworks.

• Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.

• Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.

• Ability to quickly learn and implement new concepts, analyze data logs using 3D visualization platforms, and utilize proprietary tools. Strong understanding of driving rules and regulations.

• A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment and navigating technical ambiguity.

• Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment

We prefer:

• Demonstrated strong execution with ability to drive outcomes in new environments, from early-stage to maturity

• Strong communication skills in German

• Demonstrated experience working with international and/or offshore vendor teams to drive global process standardization and quality

• Analytic skills and basic SQL querying

• Competency in LLM / transformer models, and / or ML for robotics domain experience

• A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions

• Self-motivated with basic skills in task planning and time management

• Experience with project management or program management in a global, distributed environment

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. the company employees are also eligible to participate in the company’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

£97,000—£105,000 GBP