We are developing AI-native products that bring generative intelligence into the physical world. As a Principal 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:- Define and evolve the technical architecture across core systems and products
- Provide hands-on technical leadership on strategic projects
- Lead technical reviews and mentor engineers across all levels
- Align engineering direction with product and ML research priorities
- Identify and address scaling challenges before they become bottlenecks
- Champion engineering excellence, reliability, and system sustainability
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
- 10+ years of professional software development experience
- Experience designing and scaling distributed systems and real-time applications
- Proven ability to lead technical strategy and cross-team architecture efforts
- Proficiency in at least one backend systems language (e.g., Python, Go, Java)
- Strong understanding of system design, performance optimization, and fault-tolerance
Preferred Qualifications
- Experience bridging machine learning research and production environments
- Background in building systems that operate in or interact with the physical world
- Ability to influence engineering orgs and contribute to hiring and culture
- Track record of mentoring senior and staff-level engineers
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. Principal 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 $165,220 - $283,234 annually with a target incentive of 15% 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.
