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Senior AI Platform & Software Engineer (m/f/d)

Validas·Salary not specified

Primary stack

AILinuxMachine LearningAqua SecurityAPI

Nice to have's

vLLMTGIllama.cpp

Job description

About the Position

Senior AI Platform & Software Engineer (m/f/d)

Location: München, Germany

Type: Permanent employee

Join Validas as a Senior AI Platform & Software Engineer to develop and improve our AI infrastructure, ensuring secure and efficient use of modern AI technologies.

Responsibilities

Your mission is to help build a secure, scalable platform that powers real-world software products. You will take responsibility for the development and continuous improvement of our AI infrastructure. Key responsibilities include:

  • Software Development and Integration: Develop and enhance innovative software solutions for our Validas products, internal tools, and business processes. Integrate modern AI capabilities into existing applications using secure APIs, services, and workflows.
  • AI and LLM Platform: Design, operate, and continuously improve our internal AI and LLM infrastructure. Deploy and manage self-hosted Large Language Models as inference services and evaluate suitable models, model formats, and quantization techniques.
  • Performance and Operations: Optimize context handling, KV cache and memory consumption, throughput, latency, and hardware resource utilization. Ensure reliable operations through monitoring, backup and recovery processes, and proactive capacity planning.
  • Linux, GPU, and Infrastructure: Administer the underlying Linux systems and manage GPU and accelerator hardware, including drivers, primarily the CUDA toolkit and driver stack. Support multi-GPU configurations and hardware upgrades.
  • Security and Governance: Protect our AI infrastructure against prompt injection, data leakage, and misuse by implementing guardrails and content filters. Secure the platform through RBAC, SSO, audit logging, and secrets management.
  • Documentation, Architecture and Quality: Create technical specifications, operational documentation, and security designs. Contribute to architectural decisions and ensure the quality, stability, and maintainability of our systems through testing, code reviews, monitoring, and structured root cause analysis.

Requirements

What you bring:

  • A degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a comparable field; alternatively, a vocational qualification in IT combined with relevant professional experience.
  • Several years of experience in software development, AI engineering, system administration, or the operation of production-grade IT systems.
  • Strong Linux skills, along with experience working with APIs, internal services, and distributed systems.
  • A solid understanding of modern AI and machine learning concepts, particularly in the areas of LLMs, embeddings, inference service integration, and agentic workflows / RAG pipelines.
  • Solid knowledge of security principles, access control concepts, authentication mechanisms, and the secure operation of IT systems.
  • Strong analytical thinking, a pragmatic approach to problem-solving, and a passion for turning emerging technologies into robust, practical solutions.
  • Good written and spoken German and English skills.

Preferred Qualifications:

  • Experience operating LLM-based systems, AI serving frameworks, or tools such as vLLM, TGI, llama.cpp, or NVIDIA Triton, or comparable technologies.
  • Knowledge of model formats, quantization, tokenization, context windows, LoRA, and performance optimization techniques for AI systems.
  • Hands-on experience with GPU or accelerator hardware, device drivers, the CUDA toolkit and driver stack, GPU memory management, and multi-GPU configurations.
  • Experience with monitoring, backup and recovery, capacity planning, and the operation of business-critical systems.
  • Understanding of AI-specific security risks, including prompt injection, data leakage, insecure tool usage, and excessive agent permissions.

We Offer

  • Attractive compensation
  • Flexible working hours & option for home office
  • Company pension scheme
  • Individual training opportunities
  • Flat hierarchies, short decision-making paths
  • Casual work environment with employees from 20+ different nations
  • Regular team events
  • Spacious, light-filled, and modern office spaces
  • Convenient location directly at the S-Bahn station Hackerbrücke in the heart of Munich
  • Pool table, games, drinks, and a high-end coffee machine

About Us

We make the world safer: Validas AG from Munich is a hidden champion in the field of functional safety. For 25 years, we have been supporting our international customers from the automotive, aerospace, and semiconductor industries with the qualification of tools, libraries, and basic software, as well as powerful qualification kits for code generators, compilers, and simulators.

This ensures that the software used in cars, airplanes, or complex technical systems meets the highest safety requirements and common safety standards such as ISO 26262 or IEC 61508.

The demands for safe and reliable software are continuously growing - and so is our company. Become a part of Validas!

© Validas. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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