Solution Engineer

Responsibilities

• Act as the technical bridge between automotive customers and engineering and product teams
• Support OEMs in adopting Vehicle OS, including middleware stacks, developer SDKs, and IVI integration
• Lead technical discussions, architecture reviews, demos, and early-stage deployments
• Help customers adopt code-first developer toolchains and integrate with existing CI/CD pipelines
• Guide OEMs through the design and implementation of service-oriented vehicle architectures
• Work with customers on AAOS integration, Linux-based IVI stack deployment, and HMI/cluster software
• Collaborate with customers and internal teams to triage and resolve technical issues
• Manage project milestones and communicate progress to stakeholders

Requirements

• 3+ years of experience with automotive OEMs or suppliers in SDV, E/E architecture, or IVI
• Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
• Familiarity with vehicle communication protocols such as SOME/IP, DDS, CAN, LIN, or automotive Ethernet
• Experience with vehicle software toolchains (SDKs, virtual ECUs, SIL) or IVI platforms (AAOS, Linux-based IVI)
• Degree in Computer Science, Electrical Engineering, or a related field
• Basic or intermediate programming experience in C/C++ or Python
• Strong written and verbal communication skills in English

Preferred Qualifications

• Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking
• Experience with OTA systems and vehicle software lifecycle management
• Familiarity with ISO 26262 functional safety or SOTIF
• Experience with Cabin Intelligence technologies (DMS, OMS) or AI/ML pipelines
• Proficiency in German or other European languages

Benefits

• 30 days of paid vacation per year
• Daily meal benefits including lunch and dinner budgets
• Annual learning & development and fitness budgets
• Subsidized Wellpass membership
• Monthly contribution to Deutschlandticket
• Generous parental leave

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.