Staff Software Engineer - Runtime
webAI
Job Description
About the Role
We are establishing the first distributed AI infrastructure dedicated to personalized AI. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of AI is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model. As a Staff Software Engineer on the Runtime team, you will be a technical leader responsible for architecting, designing, and driving the evolution of the core systems that power our services. You'll define the technical strategy for high-performance runtime components, ensuring they are scalable, reliable, and efficient under heavy workloads. You will lead cross-functional initiatives, mentor engineers across the organization, and make critical architectural decisions that shape the future of our runtime platform while ensuring seamless experiences for end users.
Key Responsibilities
- Architect and lead the design of complex distributed systems for both local air-gapped environments and large-scale customer deployments
- Drive the technical roadmap and strategy for runtime systems, making high-level architectural decisions that impact the entire platform
- Lead cross-team initiatives for new features through robust backwards compatible updates that impact all of webAI's customers and products
- Establish and evolve engineering best practices, architecture patterns, and development processes across the organization
- Mentor engineers at all levels, providing technical guidance and fostering a culture of technical excellence
- Collaborate with leadership on technical strategy and represent the engineering perspective in product and business decisions
- Own critical technical decisions that directly influence the company's ability to scale AI-powered products and services across diverse customer environments
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience
- 8+ years of experience in product-driven backend engineering, with significant experience in distributed systems, platform engineering, or embedded systems
- Expert-level proficiency in Go and experience architecting large-scale Go applications
- Deep experience with messaging systems (MQTT, Kafka, Nats) and ability to make informed decisions about system trade-offs
- Extensive experience with deployment pipelines, CI/CD processes, and the ability to design and implement custom deployment strategies for complex distributed architectures
- Proven track record of leading technical initiatives across multiple teams and mentoring senior engineers
- Experience with system performance optimization, scalability challenges, and edge computing environments
Nice to Have
- Experience with system performance optimization and scalability challenges
- Experience working in edge computing environments
Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision benefits package
- 401k Match
- $200/month Health and Wellness Stipend
- $400/year Continuing Education Credit
- Free parking for in-office employees
- Unlimited Approved PTO
- Parental and Bereavement Leave
- Supplemental Life Insurance
Working at webAI
We at webAI are committed to living out the core values of Truth, Ownership, Tenacity, and Humility. We seek individuals who exemplify transparency, responsibility, perseverance, and respect. We adhere to principles of equal opportunity and provide reasonable accommodations to qualified employees with protected disabilities.
Job Details
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About webAI
Website
webai.com
Company Size
51-100 employees
Location
Austin, TX
Industry
Software Publishers
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