The ADAS Virtual Verification and Validation group develops and applies state-of-the-art tools and methods to validate ADAS features, including Driver-in-the-Loop (DiL) simulators that are interactive high-fidelity systems that integrate a human driver with vehicle simulation models and systems in real-time immersive virtual environment. These simulators aid improvements in driver interactions and experience; helping to deliver ADAS features with quality and robustness to improve customer satisfaction.

Our engineers support the latest ADAS features such as Blue Cruise (BC), System Initiated Lane Change (SILC) and Lane Keeping Aid (LKA).

Responsibilities

• Lead Driver-In-Loop (DiL) Simulator development and testing to support the development and sign-off of ADAS features
• Contribute to development of simulation platform to support cross-tool SiL, DiL, HiL virtual validation methods
• Develop new DiL solutions for feature development and validation, combining simulation with traditional vehicle testing methods on vehicle simulators
• Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance.
• Conduct customer-level algorithm and calibration clinic studies to satisfy vehicle-level performance requirements
• Create virtual roads and scenarios for robust testing of ADAS features (Regulatory, Functional, Performance, Real World).
• Develop and integrate camera, radar, and ultrasonic sensor stimulation and simulation tools to support testing of new and existing ADAS features.
• Collaborate cross-functionally with technical specialists, product owners, developers, simulation, HIL, and vehicle test teams to establish tools and test procedures that improve efficiency of and enable new test cases for vehicle level testing.
• Develop Python tools for data collection and analysis
• Grow and demonstrate technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment.

Qualifications

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related field or a combination of education and equivalent experience
• 2-5 years of experience developing/testing features in related vehicle systems (vehicle dynamics, body, electrical, chassis, powertrain)
• 2-5 years of experience with at least one scripting or programming language (e.g., C, C++, Python, JavaScript, etc.)

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Your expertise in embedded systems and automotive industry knowledge will help ensure the quality and reliability of our software solutions. You will collaborate with cross-functional teams to review requirements for completeness and testability, analyze and provide feedback on system architecture, build, review, and expand infrastructure needed to simulate automotive behaviors and automate tests, derive test scenarios from requirements, use cases, and analysis of system design, develop and test in tandem with developers, troubleshoot and resolve bugs, and raise the standard for high-quality software and functionality through iteration and automation.

You will participate in code reviews and provide feedback on testability and maintainability. You will contribute to the continuous improvement of testing processes, methodologies, and best practices.

You will have a bachelor's degree in Electrical/Mechatronics Engineering, Computer Science, or a related field or relevant experience. You will have a minimum of 5 years of experience in software testing, preferably with embedded systems in the automotive industry. You will have strong programming skills in Python, Rust, or other relevant languages used in embedded software development and verification. You will have experience writing automated tests in test frameworks such as Pytest, Slash, Robot Framework, or similar. You will have strong experience debugging embedded systems at a module and/or system level, and the ability to triage nightly regression failures. You will have experience with software testing tools, frameworks, and methodologies (e.g., requirements-driven test development, unit testing, integration testing, system testing, automated testing).

Even better, you may have proficiency in C/C++, or other relevant embedded software development languages. You may have experience with automotive diagnostic tools and testing environments. You may have knowledge of automotive communication protocols (e.g., CAN/CAN-FD, Ethernet (MQTT, GRPC, DDS, etc), LIN, etc.). You may have working knowledge of IDLs such as DBC, LDF, ARXML, and work with internally IDLs and frameworks. You may have familiarity with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing on Linux-based environments. You may have experience testing Android and/or iOS devices. You may have experience with automotive standards and regulations such as ISO 26262. You may have knowledge of sensing and measurement principles, including analog and digital sensors, signal conditioning, and data acquisition techniques. You may have experience with electrical wiring, circuit building, and troubleshooting, with the ability to read and create basic electrical schematics. You may have familiarity with continuous integration and continuous delivery (CI/CD) practices.

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In this role, you will work broadly with verification and validation of Onboard Chargers (OBC) within various customer projects. You will be an important part of our technical deliveries and work closely with both internal teams and external partners to ensure that our solutions meet the highest quality standards.

The work covers the entire chain of test and validation activities – from requirement review and breakdown into test plans, to the execution of functional tests, system tests, and various environmental and climate validations. You will work both in lab environments, climate chambers, and in the field, contributing to the development of test methods, test environments, and automated tests.

A central part of the role is analysing test results, identifying deviations and improvement opportunities, and compiling reports to present your recommendations to both technical teams and project organisations. You will collaborate cross-functionally with several areas of expertise, often taking on a coordinating role in many of the assignments.

This role is suitable for someone who wants to combine hands-on testing, technical analysis, and collaboration in an environment where new projects and technological solutions are constantly evolving.

Requirements

• At least 4 years of experience in software testing related to OBC
• Bachelor’s degree or higher in a technical field such as Engineering Physics, Vehicle Engineering, Software Engineering, or equivalent
• Experience in breaking down requirements into a test plan
• Good knowledge of measurement systems and sensors for software testing
• Programming skills in C/C++ or Python
• Experience with communication protocols such as CAN, CANalyser, CANoe, or FlexRay
• HIL experience with systems such as dSpace or ETAS
• Experience working with tools such as INCA, MDA, and MATLAB/Simulink
• Knowledge of standards such as ISO15118, ISO61851, ISO18246
• Category B driving licence
• Communicates fluently in Swedish and English

Preferred Qualifications

• Experience in coordinating roles or cross-functional work
• Background in electrification or E-mobility

About You

To thrive and succeed in this role, we believe you have an analytical and structured working style, with the ability to break down complex technical questions and create clarity in both processes and test methodology. You take initiative, work independently, and take responsibility for moving your work forward, while also valuing collaboration and contributing actively to the team’s shared goals.

Since the role involves frequent contact with both colleagues and customers, you are communicative, relationship-oriented, and confident in presenting technical results in a way that is easy to understand. You are a natural problem solver who enjoys a hands-on environment where you can test, analyse, and improve – and you see opportunities even when challenges arise.

We also believe you have a strong desire to develop and stay updated on new technologies. You thrive in a dynamic environment where priorities may shift and have the ability to maintain focus and structure even when multiple tasks are running in parallel.

What We Offer

At AVL, you become part of a global technology company at the forefront of development, simulation, and testing within the future of mobility. As the world’s largest independent player in the field, with over 12,000 employees internationally, we drive innovation for a greener, safer, and better world of mobility.

Our focus spans the entire value chain – from early concept phases to industrialization and series production. We work with advanced technologies in electrification, software, autonomous driving, digitalization, and energy-efficient drivetrains, helping our customers shape the mobility solutions of the future.

With us, you will have a workplace where you can grow, influence, and help drive technological development forward – making a real difference for the mobility of tomorrow.

Interested?

In this recruitment process, we apply continuous selection. The process may move quickly, and the position may be filled before the final application date.

We look forward to receiving your application!

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Your responsibilities will include:

• Verifying and validating OBC systems through various testing activities, including functional testing, system testing, and environmental testing
• Collaborating with cross-functional teams to identify and resolve issues related to OBC systems
• Developing and maintaining test plans, test cases, and test scripts
• Analyzing test results and identifying areas for improvement
• Presenting findings and recommendations to technical teams and project organizations

To succeed in this role, you should have:

• At least 4 years of experience in software testing related to OBC
• A degree in a technical field, such as engineering physics, vehicle engineering, software engineering, or a related field
• Experience with requirement analysis and test planning
• Good knowledge of measurement systems and sensors for software testing
• Programming skills in C/C++ or Python
• Experience with communication protocols such as CAN, CANalyser, CANoe, or FlexRay
• HIL experience with systems such as dSpace or ETAS
• Experience with tools such as INCA, MDA, and MATLAB/Simulink
• Knowledge of standards such as ISO15118, ISO61851, and ISO18246
• A valid driver's license
• Excellent communication skills in Swedish and English

Preferred qualifications include:

• Experience in coordinating roles or cross-functional work
• Background in electrification or e-mobility

If you are a motivated and detail-oriented individual who enjoys working in a fast-paced environment, we encourage you to apply for this exciting opportunity.

At AVL, we offer a competitive salary and benefits package, as well as opportunities for professional growth and development. We are an equal opportunities employer and welcome applications from diverse candidates.

To apply, please submit your resume and cover letter through our website. We look forward to hearing from you!

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Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions.

Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation.

Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps.

Support flight test operations, making risk-informed decisions and driving rapid iteration between flights.

Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties.

Mentor and guide engineers while setting the technical standard for control system performance and rigor.

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As a DevOps Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.

Your responsibilities will include:

• Being the expert on our native (C++) software build process
• Improving developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks
• Collaborating with Software Engineers to understand their requirements, propose designs, and implement identified solutions
• Partnering with developers to resolve build/test failures quickly and set best practices for integration
• Integrating CI pipelines with HIL and simulation environments for automated validation
• Implementing monitoring, dashboards, and alerts related to build system performance for both local development and CI workflows
• Using agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer

The ideal candidate will have:

• A BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)
• Deep CMake/C++ expertise or equivalent
• Strong understanding of dependency management and proficiency with either Conan or CPM
• Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)
• Strong scripting skills (Python, Bash)
• Hands-on experience integrating automated testing into CI pipelines
• Demonstrated success improving developer productivity at scale
• Demonstrated track record of excellence as a primary contributor on projects - showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions in a fast-paced environment

Additional desired skills include:

• Proficiency with CICD tools (Azure DevOps, Jenkins, Gitlab)
• Cloud Operations experience (Azure, AWS, GCP)
• Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring (Grafana, Prometheus)
• Background in robotics, autonomy, or aerospace systems

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Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.

Responsibilities:

• Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.
• Identify, reproduce, and diagnose software issues,collaborating closely with development teams to drive fixes and improvements.
• Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met.
• Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.
• Build tools and utilities in Python to automate testing, data processing, and analysis workflows.
• Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.
• Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.
• Support the scaling and reliability of simulation infrastructure used for large-scale software validation.
• Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.
• Work with developers to integrate test coverage directly into the development pipeline (CI/CD).

Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.
• 3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.
• Proficiency in Python for test automation, scripting, and data analysis.
• Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.
• Strong understanding of software testing principles, including integration, regression, and system-level validation.
• Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).
• Excellent analytical, problem-solving, and debugging skills.
• Strong collaboration and communication skills with software and systems teams.
• Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.
• Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.
• U.S. Citizenship and ability to obtain and maintain a SECRET clearance.

Preferences:

• Experience testing autonomous systems, robotics software, or flight autonomy algorithms.
• Familiarity with C++ and software/hardware integration concepts.
• Experience with HIL or VIL test environments.
• Exposure to machine learning or AI-driven autonomy systems.
• Background in simulation infrastructure design, distributed testing, or test data management.
• Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.
• Experience with aerospace, defense, or mission-critical software.
• Active SECRET clearance preferred.

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