We're building intelligent products that bring generative AI into the physical world. As a Software Engineer, you will play a central role in developing the platforms, APIs, and systems that bring large language models and other generative technologies into real-world applications. Our systems span the software-hardware boundary, combining low-latency inference pipelines, robust cloud infrastructure, and tightly integrated product experiences. You'll work closely with engineers and research team and convert ideas to well functioning code.
This role blends product engineering with systems design and offers the opportunity to shape how users interact with AI, not just behind the scenes, but directly through the products they use.
You'll make an impact by:- Design and build distributed services that are performant and maintainable
- Own projects end-to-end, from design to deployment and monitoring
- Collaborate with ML engineers, product managers, and infrastructure teams
- Participate in code reviews, design discussions, and technical deep dives
- Contribute to team standards and continuously improve system reliability and performance
Technologies We Use
- Languages: Python, Go, TypeScript
- ML: PyTorch, HuggingFace, ONNX Runtime, LangChain
- Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform
- DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus
We do not expect deep experience with every tool, but we are looking for engineers who have repeatedly solved difficult problems at scale, and who know how to make good technical decisions under uncertainty.
You will win us over by having the following qualifications:Basic Qualifications
- 3+ years of professional software development experience
- Experience building and operating backend systems or distributed services
- Proficiency in one or more programming languages such as Python, Go, or Java
- Strong understanding of data structures, algorithms, and system design
Preferred Qualifications
- Experience working with machine learning pipelines or AI infrastructure
- Familiarity with cloud-native systems (e.g. Kubernetes, serverless, event-driven architectures)
- Ability to take a problem from design through to production independently
- Prior experience mentoring junior engineers or leading small technical efforts
About the Team: We are an early-stage engineering team solving hard technical problems at the intersection of AI, systems, and real-world interaction. We operate with high autonomy, collaborate closely across functions, and maintain high technical standards. Software Engineers at our company are expected to lead by example, model engineering excellence, and shape both what we build and how we build it.
You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $112,883 - $151,654 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
