Principal Software Engineer
Indexed description
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.
This position is remote.
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
- Languages: Python, Go, TypeScript
- ML: PyTorch, HuggingFace, ONNX Runtime, LangChain
- Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform
- DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus
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
- 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
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
$165,220 $283,234 15%
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