Staff Software Engineer

NxT Level • San Francisco, CA

20d • Hybrid

About The Position

Our client is building the data infrastructure behind the next generation of audio AI. The company is creating high-quality datasets with the same level of rigor that leading AI labs bring to model development. Their work sits at the intersection of audio, speech, data infrastructure, machine learning, generative AI, and product engineering. Their belief is simple: audio is one of the key gateways for bringing AI into the new generation of audio AI. The company is creating high-quality datasets with the same level of rigor that leading AI labs bring to model development. Their work sits at the intersection of audio, speech, data infrastructure, machine learning, generative AI, and product engineering. Their belief is simple: audio is one of the key gateways for bringing AI into the real world. Speech is natural, accessible, and already embedded in how people communicate. As voice and audio models become more capable, high-quality training data is becoming one of the industry’s biggest bottlenecks. Founded by former Scale AI engineers and operators, our client has already brought on leading FAANG companies and AI labs as customers and raised a $50M Series B from top-tier investors. The engineering team builds the systems that transform massive amounts of raw audio into high-signal training data for leading AI companies. The work spans: Product engineering Distributed systems Data infrastructure Machine learning Generative AI Digital signal processing Engineers operate with high ownership, move quickly, and work across the stack. The team collaborates directly with researchers and operations teams, ships production software frequently, and builds systems that process terabytes of speech data. Our client is hiring a Staff Full Stack Engineer to help lead the development of products and infrastructure used to understand, evaluate, and manage the audio datasets powering advanced AI models. This is a highly hands-on role for a senior technical builder who can lead complex full-stack projects, establish engineering standards, mentor engineers, and work directly with researchers to turn ideas into production systems. The right candidate combines strong product instincts with deep technical execution. They can move from prototype to polished product quickly without sacrificing quality.

Requirements

• 6+ years of product-focused full-stack engineering experience
• Strong fundamentals across modern frontend and backend development
• Experience building products from rapid prototypes through scalable production systems
• Track record of shipping software that creates measurable customer value
• Strong product judgment and an eye for intuitive, polished user experiences
• Experience working in fast-moving startup or high-growth engineering environments
• Ability to own ambiguous technical problems from architecture through deployment
• Experience providing technical leadership, mentorship, or engineering management
• High attention to detail without sacrificing speed
• Curiosity and ability to learn quickly in technical domains such as audio, AI, ML, and data infrastructure

Nice To Haves

• Previous audio or AI/ML experience is not required. Our client cares more about technical horsepower, product judgment, curiosity, and the ability to learn quickly.
• Experience with digital signal processing, speech, or audio systems
• Experience building or deploying machine learning models in production
• Experience working with LLMs or modern generative AI systems
• Experience leading engineering teams in high-growth startup environments
• Experience building large-scale data processing systems or distributed systems

Responsibilities

• Lead full-stack product development across customer-facing and internal platforms
• Build scalable systems capable of processing and analyzing terabytes of audio data
• Rapidly prototype, ship, and iterate based on customer, researcher, and operations feedback
• Deploy and evaluate LLM, ML, and DSP-based systems for understanding and enriching audio datasets
• Build interfaces and tooling that help researchers and operations teams collect, evaluate, and manage data at scale
• Own technical architecture and major engineering decisions across the product
• Raise the engineering bar through architecture reviews, technical standards, and mentorship
• Identify emerging technologies across software engineering, AI, data infrastructure, and signal processing
• Help shape the engineering organization as the company continues to scale

Benefits

• Unlimited PTO
• Comprehensive health, dental, and vision coverage, with 100% coverage for most plans
• FSA and HSA access
• 401(k) access
• Lunch and dinner provided, plus snacks and beverages in office
• Company-sponsored fitness benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed