Role & seniority: Verification and Validation Engineer (mid-level; 3+ years in software-controlled systems)

Stack/tools: Python for data analysis; virtual verification methods (SIL, HIL, simulation); data-driven test scenarios and automated test oracles; AI/ML techniques (anomaly detection, predictive modeling); tooling for evidence gathering from simulation/embedded data

Top 3 responsibilities

Review verification specifications for quality and completeness; plan and drive test activities across SIL to test track
Collaborate with development to create high-quality verification content, including data-driven scenarios and automated oracles
Apply AI/ML to support decision making and test efficiency; develop tooling and metrics; report progress from release testing

Must-have skills

Master’s degree in engineering or related field; 3+ years in verification/validation of software-controlled systems
Python for data analysis; experience with SIL/HIL/simulation
Understanding of verification methods and ADAS/Autonomous Driving exposure; strong English communication

Nice-to-haves

Broader engineering experience beyond software testing; experience with AI-assisted verification or data-driven techniques
Location & work type: Stockholm, Sweden; full-time employment

Note: Role sits within Einride’s autonomous, electric vehicle verification team and involves AI-assisted verification in a safety-critical, cross-environment context.

Full Description

Born autonomous. Born electric.

Since 2016, our technology has connected global communities with the things they need – and all without the emissions. We’re made up of experts in multiple fields and that’s how we’ve developed a new way to move goods. This is technology purpose-built for the industry. This is safer, cleaner, and more reliable movement.

We are Einride and this is how we build a better future.

Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.

Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.

The Verification and Validation Engineer plays a central role in helping development teams understand what to test and how to test it efficiently for both new and existing functionality. The position combines classical verification craftsmanship with modern, data-driven approaches. This includes applying AI and Machine Learning where appropriate to support decision making, improve test prioritization, and automate parts of the verification pipeline. The role involves taking ownership of test planning, working with the overall V&V strategy, reviewing specifications, and contributing to safe and robust autonomous technology.

You Will

Review verification specifications for quality and completeness. Drive and plan required test activities in all relevant test environments, from SIL to test track. Collaborate with development teams to develop high-quality verification content, including data-driven test scenarios and automated test oracles. Use AI and ML techniques, for instance anomaly detection or predictive modelling, to support decision making and improve test efficiency. Provide input to the strategic V&V development plan, with particular attention to the evolving role of AI-assisted verification. Develop and implement tooling that gathers evidence demonstrating that requirements are fulfilled, including automated metrics derived from simulation or embedded data streams. Summarize and report on progress and results from release testing activities, including insights from data-driven evaluations.

We Expect You To Have

Master's degree in engineering or a related field and minimum of 3 years' experience in verification and validation of software-controlled systems. Hands-on experience in Python for data analysis. Experience with virtual verification methods (SIL, HIL, simulation). Understanding of how to apply different verification methods to increase efficiency, and interest in augmenting them with data-driven techniques. Experience with Advanced Driver Assistance Systems, ADAS, or Autonomous Driving, AD. Broader engineering experience beyond software testing in a single domain. Excellent written and verbal communication skills in English.