--- title: 'Senior Application Engineer at Apex.AI' canonical: 'https://feeny.ai/job/senior-application-engineer-apex-ai-munich-62a0sr965f9p' type: 'job' last_seen: '2026-09-07' --- # Senior Application Engineer at Apex.AI - **Company:** Apex.AI - **Location:** Munich, Germany - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-22 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/apex-ai/4e9f4207-1a8d-47ff-bfbf-0f22d13eeb90 ## Job description Build the Software Foundation for Next-Generation Mobility At Apex.AI, we develop safety-certified software for mobility systems and intelligent machines. Our products power applications in automotive, trucking, robotics, aerospace, agriculture, and industrial automation. We are looking for a Senior Applications Engineer who combines strong C++ engineering skills with a passion for solving complex customer challenges. In this role, you will work directly with global customers and internal product teams to design, build, deploy, and support advanced software solutions based on Apex.OS. You will help customers bring real-world systems to production while contributing improvements and features back into our core platform. This is a highly technical, hands-on role ideal for someone who enjoys deep systems engineering, customer collaboration, and writing production-quality C++ software. If you thrive in fast-moving environments, enjoy solving difficult distributed and embedded systems problems, and want to help shape the future of software-defined mobility, we’d love to talk with you. This role is located in our Munich office. Authorization to work in the Germany is required. ## What You’ll Do - Roll out Apex.AI software to customers and provide technical support solutions using Apex.AI products - Collaborate closely with customers to understand technical requirements and deliver high-quality implementations - Deploy, integrate, and support Apex.AI software in customer environments - Troubleshoot complex software, networking, middleware, and embedded systems issues - Partner with internal engineering teams to improve product capabilities, usability, and performance - Contribute features, fixes, and enhancements directly to Apex.OS - Deliver technical presentations, workshops, and customer training sessions - Help accelerate customer adoption and success across automotive and intelligent machine platforms ## What You Bring - Bachelor’s degree or higher in Computer Science, Electrical Engineering, Robotics, or a related technical field - 5+ years of professional software development experience in modern C++ - Strong debugging and problem-solving skills across complex software systems - Experience developing software for embedded or distributed systems - Excellent communication and presentation skills with the ability to work directly with customers and cross-functional teams - Experience using modern development workflows and tools such as Git, GitLab, CI/CD pipelines, and issue tracking systems - Self-driven and comfortable operating independently in dynamic technical environments ## Nice To Have - Experience in automotive, robotics, aerospace, industrial automation, or other safety-critical domains - Familiarity with operating systems, networking, and communication protocols (UDP, multicast, TCP/IP, DDS, ROS/ROS 2) - Understanding of real-time systems and automotive software architectures such as AUTOSAR - Experience in technical consulting, field engineering, developer support, or professional services - Customer enablement or technical training experience - Familiarity with build systems such as Bazel or CMake - Experience working with Linux-based development environments Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Gothenburg, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover’s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF. The company’s flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida. Apex.Grace is an application runtime framework in the form of a software development kit (SDK). It provides a robust framework for developing real-time, reliable, and safe applications. Core APIs are based on ROS 2 APIs with numerous extensions enabling real-time execution, reliable performance, deployment into large fleets, system state management, safety, security, and much more. It is safety-certified to ISO 26262 ASIL D. Apex.Ida is a communication middleware delivering optimal high-performance data transport across use cases. These use cases range from fully autonomous vehicles with dozens of high-resolution cameras to small signals with ultra-high frequencies in safety-critical domains. Its core is based on a shared memory data transport with connectors into DDS, SOME/IP, MQTT, CAN, and many more protocols, all abstracted into a single application-facing API. Additionally, Apex.AI offers: Apex.Alan provides customers with a highly optimized and efficient software integration, development environment, build, test, and delivery process. Apex.OS for V&V enables record and playback of very large and diverse data streams, both time- and data-deterministically, which is crucial for replay, analysis, and performance evaluation of complex autonomous systems. Apex.AI’s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems. ## About Apex.AI ## Company Overview - **One-liner**: Apex.AI develops safety-certified, developer-friendly, and scalable software for mobility systems, accelerating the transition to software-defined vehicles and mobility. - **Entity Type**: Private (Corporate Minority – II; total funding raised >$75 million) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2017 - **Founders**: Jan Becker and Dejan Pangercic ## Core Business - **Industries**: Automotive, agriculture, medical, defense – any sector requiring safety-critical mobility software. - **Target Customers**: B2B – OEMs, Tier 1 suppliers, and system integrators in automotive and other mobility domains. - **Mission**: Provide safe, certified, developer-friendly, and scalable software that enables the industry to build and deploy software-defined mobility systems. ## Products & Services - **[Apex.Grace](https://www.apex.ai/about)**: An application runtime framework / SDK (meta‑operating system) based on ROS 2 APIs, safety‑certified to ISO 26262 ASIL‑D. Enables real‑time, reliable, and safe application development for vehicles and autonomous systems. - **[Apex.Ida](https://www.apex.ai/about)**: High‑performance communication middleware for inter‑process and cross‑domain data transport. Supports multiple protocols (shared memory, DDS, SOME/IP, MQTT, CAN, etc.) with deterministic low latency. - **[Apex.Alan](https://www.apex.ai/about)**: Software integration and build environment that optimizes the development, testing, and delivery process for customers. - **[Apex.OS for V&V](https://www.apex.ai/about)**: Record‑and‑playback tool for large, time‑ and data‑deterministic data streams, critical for verification & validation of complex autonomous systems. ## Market Standing - **Valuation**: Not publicly disclosed. - **Key Metric**: Over $75 million in total funding raised (as of 2026-09-06) [apex.ai/about](https://www.apex.ai/about). - **Notable Investors/Partners**: AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover’s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital, ZF [apex.ai/about](https://www.apex.ai/about). - **Growth Signals**: - ~110 employees globally [builtin.com](https://builtin.com/company/apexai). - Offices in Palo Alto, Berlin, Gothenburg, Munich, Stuttgart, Tokyo, Pangyo. - 10 patents filed (one granted in 2024) [cbinsights.com](https://www.cbinsights.com/company/apexai). - Expanding beyond automotive into agriculture, medical, and defense sectors. ## Competitive Advantages - **Safety Certification**: Apex.Grace is certified to ISO 26262 ASIL‑D, the highest automotive safety integrity level. - **Open‑Source Foundation**: Built on ROS 2 and Eclipse iceoryx, enabling a large developer ecosystem and rapid innovation. - **High‑Performance Middleware**: Apex.Ida provides data‑amount‑independent low latency, critical for multi‑sensor autonomous systems. - **Multi‑Industry Applicability**: Already adopted in automotive, agriculture, medical, and defense – reducing single‑industry risk. ## Strategic Focus - Continue to scale the platform for software‑defined vehicles, while expanding into new verticals (defense, medical, agriculture). - Deepen partnerships with tier‑1 suppliers and OEMs to embed Apex.OS into production vehicles. - Maintain leadership in safety‑certified, ROS‑based middleware and runtime environments. ## Why Work Here - **Culture**: Emphasizes collaboration, openness, diversity, and passion for safety‑critical software. “Our people are our secret sauce” [apex.ai/about](https://www.apex.ai/about). - **Work Model**: Hybrid – ~2 days on‑site for employees near offices; fully remote options for previously hired distant employees [builtin.com](https://builtin.com/company/apexai). - **Global Offices**: Palo Alto (HQ), Berlin, Gothenburg, Munich, Stuttgart. - **Perks**: - Company equity and performance bonuses. - Healthcare benefits and family medical leave. - Focus on modern software engineering, embedded systems, robotics, and functional safety – challenging technical work. - **Hiring Process**: Talent Acquisition call → Hiring Manager interview → ~3‑hour interview series (technical + values alignment) [apex.ai/careers](https://www.apex.ai/careers). ## Sources 1. [apex.ai/about](https://www.apex.ai/about) 2. [apex.ai/careers](https://www.apex.ai/careers) 3. [builtin.com](https://builtin.com/company/apexai) 4. [cbinsights.com](https://www.cbinsights.com/company/apexai) 5. 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