Software Engineer (Voice AI, Inference Runtime)

• Voice is becoming the internet’s next interface, but a production-grade Voice AI system is “hard to build”
• You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more
• You’ll make a meaningful impact on people’s daily lives and help reshape these industries
• This is a high-impact, high-ownership role
• You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation
• You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI
• Own and lead Voice AI product areas end-to-end — from architecture and system design through implementation, rollout, and long-term production operations
• Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs for mission-critical customer deployments
• Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating end-to-end delivery across the product surface area
• Mentor teammates through code reviews, design docs, and technical leadership

Benefits

• Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
• Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
• Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year’s Day
• Full healthcare coverage. Medical, dental and vision insurance for you and your family
• Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
• Company-sponsored 401(k) for you to contribute to
• Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen

• Strong collaboration and communication skills
• Interest in ML/AI infrastructure and willingness to learn
• Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill
• Good taste in product, particularly developer-oriented tools
• Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus
• Bachelor’s degree or higher in Computer Science or related field
• Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters
• Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements
• Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products
• Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)
• Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX)
• Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues
• Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions
• Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling