20 beste Stellen als senior software engineer, applied ai in feldkirchen – aktuell auf Personalsuche

Senior Software Engineer, Applied AI
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
9 Std.
Senior Software Engineer - Applied AI & Data Products
SQUER —München
- Vollzeit
- Azure
- Java
- Master
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich
Mistral AI —München
- Vollzeit
- Doktorat
- Master
- Machine Learning
12 Tage
Senior Software Engineer – C++ / Geometric Algorithms
Aves Reality —München
- Vollzeit
- Englisch
- C++
- Softwareentwicklung
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior Applied AI / ML Application Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Java
- Künstliche Intelligenz
- Flexible Arbeitszeiten
6 Tage
Applied AI Engineer
TechTree —München
- 61.504,42 € pro Jahr
- Vollzeit
- Master
- Machine Learning
- APIs
Direkt bewerben
1 Std.
Senior Applied AI / ML Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
6 Tage
Senior Software Engineer (m/w/d) – Architektur & Entwicklung
Steadforce —München
- Vollzeit
- Azure
- Java
- Datenbanken
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior Applied AI / ML Data Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
6 Tage
(Senior) Software Engineer (AI / Data Focus) (m/w/d)
OMMAX GmbH —München
- Informatik
- Englisch
- Java
Senior Software Engineer Solr (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —München
- Vollzeit
- Englisch
- Java
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Software (Elixir) Engineer (m/w/d)
JobRad Loop —München
- Vollzeit
- Englisch
- AWS
- Erfahrung in der IT
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Direkt bewerben
Senior AI Engineer (Forward Deployed) (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- Bachelor
Applied AI Engineer Intern (all genders)
revel8 —München
- Vollzeit
- Künstliche Intelligenz
- Python
Direkt bewerben
11 Tage
Senior AI Engineer (M/W/D)
PAYBACK GmbH —München
- Englisch
- Analysefähigkeit
- Künstliche Intelligenz
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Senior AI Engineer
DL Remote —München
- Bis zu 95.000 € pro Jahr
- Hybrides Arbeiten
- Informatik
- Englisch
- Master
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior AI Software Engineer (all genders)
Kertos GmbH —München
- Vollzeit
- Master
- APIs
- Künstliche Intelligenz
Direkt bewerben
Senior AI-Native Software Architect / Engineer (m/w/d)
codecentric AG —München
- Teilzeit
- Azure
- AWS
- Softwareentwicklung
- Employee Assistance Program
- Weiterbildungsprogramme
Senior Software Engineer, Accessibility
Synthesia —München
- Ab 120.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Kommunikationsfähigkeit
9 Tage
Software Engineer (m/w/d) mit Fokus AWS
Steadforce —München
- Vollzeit
- Englisch
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben

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senior software engineer, applied ai jobs near feldkirchen

Senior Software Engineer, Applied AI

NVIDIA -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 9 Stunden

Qualifikationen

CI/CD
Rust
Go
Doktorat
Informatik
Kubernetes
Master
C++
PostgreSQL
Verteilte Systeme
Redis
APIs
Künstliche Intelligenz
TypeScript
Python
Debugging

Vollständige Stellenbeschreibung

We are looking for a Senior Software Engineer, Applied AI Systems, to build production AI / ML and agentic solutions. We need a hands-on senior engineer who can turn ambiguous technical problems into durable software systems and AI-enabled systems: agents, workflow services, APIs, data pipelines, tool integrations, evaluation and benchmarking harnesses, reference architectures, and operational tooling.

We work at the intersection of applied AI, agentic workflows, software engineering, distributed systems, performance engineering, accelerated computing, and data infrastructure. In this role, you will build AI systems as real software systems: write and review high-quality code, make architecture tradeoffs, benchmark behavior and performance, and outcomes from prototype through validation, hardening, deployment, and ongoing support. This is an opportunity to shape how production applied AI systems are built, measured, and reused inside NVIDIA!

We partner across global teams and time zones for design reviews, planning, debugging, support critical issues, and technical decision-making. We need an engineer who turns complex requirements into clear technical plans, keeps the focus on reusable software capability rather than one-off delivery, and drives execution across teams.

What you will be doing:

Build and own production-grade applied AI systems for NVIDIA’s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.
Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.
Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.
Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.
Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.
Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.
Improve standard solution patterns alongside larger applied AI systems, working with NVIDIA engineering and solution teams to codify repeated patterns, product gaps, and field lessons into APIs, services, reference architectures, playbooks, test harnesses, and shared engineering building blocks.
Debug and support production solutions across software, infrastructure, AI models, data pipelines, inference services, and GPU-accelerated environments, turning recurring support patterns into product or platform improvements.

What we need to see:

BS, MS, or PhD in Computer Science, Engineering, AI/ML, or equivalent experience, with 5+ years of professional software engineering experience owning production systems or meaningful platform components.
Hands-on experience with LLM, generative AI, RAG, agentic AI, MCP or intelligent AI technologies beyond simple prompting or notebooks, including tool use, retrieval, evaluation, guardrails, orchestration, or human-in-the-loop control.
Strong Python engineering skills and practical experience with at least one additional production programming language such as C++, Go, Rust, or TypeScript.
Demonstrated ability to develop and build distributed systems, backend services, data pipelines, workflow orchestration, APIs, or developer platforms using production environments like Kafka, ClickHouse, PostgreSQL, Redis, object storage, Kubernetes, or similar technologies.
Strong system design and operational judgment, including reliability, latency, cost, security, privacy, scalability, debuggability, maintainability, performance analysis, benchmarking, profiling, or capacity evaluation.
Excellent debugging and problem-solving skills across software, infrastructure, AI systems, and performance bottlenecks.
Proven ownership of ambiguous, cross-team engineering work, with ability to collaborate with distributed teams spanning US Pacific, EMEA, and APAC timezones.
Required : Strong written and verbal communication skills in English.

Ways to stand out from the crowd:

Experience building real-world AI implementations, agent tools, MCP-compatible modules, A2A-style bridges, agent frameworks, evaluation frameworks, or RAG systems used by real users.
Familiarity with NVIDIA GPU, AI Software Technologies such as NVIDIA NIM, NeMo Agent Toolkit, CUDA and Agentic AI development frameworks
Open-source contributions, technical papers, patents, conference talks, engineering blogs, or major internal engineering artifacts

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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