The company is looking to solve the problem of building and scaling its core Atlas platform, which requires designing multi-agent systems, architecting and building multimodal agentic workflows, and developing new E2E features.
Requirements
- Proficient in building backend and distributed systems
- Demonstrated interest and familiarity with building multi-agent systems
- Deep understanding of scalable system design, performance optimization, and resilience engineering
- Extensive experience with cloud platforms (e.g., AWS, Azure, GCP)
- Skilled at analyzing complex problems, proposing innovative solutions, and communicating technical concepts to both technical and non-technical stakeholders
- Comfortable with rapid prototyping and iterating based on user feedback
- An interest in and experience with hardware, electrical engineering, and how AI can accelerate these domains
Responsibilities
- Design and implement the core technical architecture behind Atlas’s advanced AI capabilities for hardware testing and optimization
- Develop and refine our large-scale data ingestion and indexing platform
- Bring Atlas to the lab-bench by building integrations with engineering systems of record, and laboratory + test-bench hardware systems
- Architect and implement high-throughput, low-latency pipelines that fuse cutting-edge LLMs with physics-informed deep learning models
- Collaborate directly with hardware engineers and technical stakeholders to gain deep insight into their real-world testing and debugging challenges
Other
- 5+ years of software development experience at a venture-backed startup or top technology company
- Willingness to work in our NYC or LA office 5 days a week
- Willingness to travel domestically and internationally to customer locations, with travel making up approximately 10%-15% of your time
- Self-directed and excited to take ownership of major initiatives
- Proven track record of leading software development projects and collaborating with cross-functional teams
- Strong interpersonal and communication skills to support a collaborative and inclusive work culture
