We are developing AI-native products that bring generative intelligence into the physical world. As a Software Engineer, you will set the technical direction for systems that blend cloud infrastructure, machine learning, and hardware interaction. You will be responsible for defining architecture that is robust, scalable, and adaptable to rapid research and product iteration.
This is a high-impact role for a technical leader who thrives on deep systems work and cross-disciplinary problem solving. You will work closely with engineers, ML researchers, product managers, and executives to define the architecture and foundational components that will support the next generation of intelligent, interactive systems. Your decisions will influence the trajectory of multiple engineering teams and the product itself.
You'll make an impact by:- Lead architecture and development of complex, high-scale systems
- Drive technical decisions and trade-offs across multiple domains (infra, ML, product)
- Collaborate across teams to align long-term platform and product direction
- Set engineering standards for code quality, design, and operational excellence
- Mentor and support growth of engineers across the team
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
- 6+ years of professional software development experience
- Experience designing and scaling distributed systems in production environments
- Proficiency in at least one backend programming language (e.g., Python, Go, Java)
- Strong understanding of systems architecture, observability, and deployment best practices
- Demonstrated ability to lead cross-functional technical initiatives
Preferred Qualifications
- Experience with ML model serving or AI product integration
- Prior ownership of mission-critical systems with high availability requirements
- Background in performance engineering or systems optimization
- Experience mentoring senior engineers or leading architectural reviews
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 $167,443 - $226,073 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.
