Software Engineer - Voice AI (Inference Runtime)

RESPONSIBILITIES:

• 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.

REQUIREMENTS:

• 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.
• Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.
• Good taste in product, particularly developer-oriented tools
• Interest in ML/AI infrastructure and willingness to learn
• Strong collaboration and communication skills
• 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.

NICE TO HAVE:

• 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.
• Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.
• 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.

BENEFITS

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).