18 Sesame Production Assistant Jobs Hiring Near You

Job Summary:
Sesame is a company focused on designing a new kind of computer that integrates voice agents into daily life. They are seeking a Staff Software Engineer to lead the development of backend infrastructure, particularly in machine learning and voice processing systems.
Responsibilities:
• Design, build, and maintain secure, maintainable, self-serve core infrastructure that engineering teams can rely on and operate independently
• Lead the architecture and evolution of a modern ML training infrastructure — scalable, reproducible, and built for rapid experimentation
• Build and operate a modern model serving architecture with a focus on reliability, cost efficiency, and low latency
• Lead and own the low-latency voice interface and audio processing pipeline — a technically demanding, performance-sensitive system at the core of Sesame's product
• Build developer tooling, server infrastructure, and data infrastructure that is high leverage and low maintenance — the kind that makes other engineers faster without creating new dependencies on you
• Lead technical direction within your domain, bring others along through clear communication and well-reasoned proposals, and raise the engineering bar across the team
Qualifications:
Required:
• A strong systems thinker who is equally comfortable leading technical direction and getting hands-on with implementation
• 7+ years of software engineering experience, with significant time in infrastructure, platform, or ML systems roles
• Hands-on reliability engineering experience — you have well-formed convictions about observability, monitoring, deployment systems, and loosely coupled architectures, and you've put them into practice at scale
• Proven track record of building and shipping services at scale, with all the operational complexity that comes with it
• Kubernetes — significant production experience building, operating, and scaling Kubernetes clusters
• Experience designing and shipping flexible domain models and APIs — you think carefully about boundaries, contracts, and long-term maintainability
• A default toward automation — you've consistently built efficiency gains through automation and have the track record to show it
• Strong communication skills — you can lead your own direction, write clearly about tradeoffs, and bring engineers and stakeholders along with you
Preferred:
• Infrastructure as Code at scale — significant IaC experience, preferably Terraform; CloudFormation, Pulumi, or Kubernetes-based approaches also welcome. Ideally you've led, architected, or contributed to a multi-stack, self-serve IaC system and understand the challenges of building infra that teams can own independently
• ML infrastructure — any combination of the following: PyTorch experience, especially model optimisation for serving; ML training or serving experience in general; Experience building ML serving and/or training infrastructure (TorchServe, Seldon, KServe, Ray Serve, or similar); Experience building and leading large-scale distributed training and serving systems
• Data engineering — pipeline design, dataset management, or data platform experience
• Database design — complex schema design, query optimisation, and hard data modelling decisions across relational and non-relational stores
• Real-time communication systems — low-latency audio, video, or streaming infrastructure
Company:
Sesame is a voice tech startup focused on developing AI voice assistants that create natural and emotionally resonant conversations. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.