Software Engineer, Inference

Candidate; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Flexible PTO

Medical, dental, vision benefits

Life insurance and disability benefits

401(k) / Retirement plan

Parental leave

Fertility and family building benefits

Snacks and coffee

Résumé du poste

Sierra is the leading platform for customer-facing AI agents, based in San Francisco. We are seeking a Software Engineer on the Inference team to define architectures for self-hosted and provider-based inference, focusing on latency, reliability, and cost at scale.

You will work across distributed systems to build, optimize, and operate core inference infrastructure. This role emphasizes ownership of complex systems from design to production, and collaboration with frontier labs, providers, and

Qualifications

• Deep systems thinking and distributed systems fundamentals.
• Experience designing, building, and operating large-scale production systems.
• Strong judgment around latency, reliability, capacity, and cost.
• Experience taking ownership of complex infrastructure from architecture through production operation.
• Excitement about applying systems expertise to AI infrastructure and evolving tech.

Responsabilités

• Partner with frontier labs and providers to supply capacity and infrastructure.
• Shape Sierra’s inference architecture across models, infrastructure, and providers.
• Build for low latency and high reliability in routing, capacity management, and quotas.
• Build and operate self-hosted inference on GPU infrastructure and containers.
• Collaborate with Applied Research on latency and cost optimizations.
• Work across a hybrid inference stack with Sierra-managed and external platforms.
• Push the serving stack forward with inference providers to tune engines.
• Support the broader model lifecycle with infrastructure and cross-team collaboration.

Connaissances

Deep systems thinking

Distributed systems

Production systems

Latency and reliability tradeoffs

Ownership of infrastructure

AI infrastructure

Outils

vLLM

SGLang

Description du poste

About us

Sierra is the leading platform for customer-facing AI agents, working with many of the world’s biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co‑founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co‑CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google’s earliest product managers and co‑creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

About the role

Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale.

As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self‑hosted models and third‑party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost.

This is a systems‑first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest‑moving areas of AI infrastructure.

What you'll do

• Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure.

• Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales.

• Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large‑scale production workloads.

• Build and operate self‑hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity.

• Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving‑engine optimizations that improve latency, throughput, and cost.

• Build across a hybrid inference stack. Work with both Sierra‑managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run.

• Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads.

• Support the broader model lifecycle. Contribute to infrastructure that enables post‑training while partnering closely with our Models and Agent Runtime teams.

What you'll bring

• Deep systems thinking and strong distributed systems fundamentals.

• Experience designing, building, and operating large‑scale production systems.

• Strong judgment around tradeoffs involving latency, reliability, capacity, and cost.

• Experience taking ownership of complex infrastructure from architecture through production operation.

• Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves.

Even better

• Experience with ML infrastructure, MLOps, or production inference systems.

• Experience serving LLMs or other large models at scale.

• Experience operating self‑hosted inference and GPU infrastructure.

• Familiarity with inference frameworks such as vLLM or SGLang.

• Experience with post‑training infrastructure or inference‑performance optimization.

Our values

• Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

• Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.

• Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self‑reflect to continuously self‑improve.

• Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.

• Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.

What we offer

We want our benefits to reflect our values and offer the following to full‑time employees:

• Flexible (unlimited) paid time off

• Medical, dental, and vision benefits for you and your family

• Life insurance and disability benefits

• Retirement plan dependent on country of employment

• Parental leave

• Fertility and family building benefits through Carrot

• Lunch, as well as delicious snacks and coffee to keep you energized

• Discretionary benefit stipend giving people the ability to spend where it matters most

• Free alphorn lessons

These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full‑time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.

Be you, with us

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn’t precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.