Senior Software Engineer: Backend & Inference

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house.
Sanas is a 180-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.

About The Role

Sanas is hiring a Senior Software Engineer to contribute to the technical direction for real-time streaming and inference systems across our product suite (live language translation, noise cancellation, accent translation) and the internal platforms that power them. You will contribute to architecture for low-latency, high-concurrency audio pipelines and lead the design of developer and experimentation platforms that supports model iteration and deployment.

Your Impact:

• Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge speech models.
• You will mentor and unblock junior engineers, drive cross-team technical decisions, and deliver production systems that operate predictably at scale.

• Work closely with our research team and product engineers to translate cutting edge research into incredible products.
• You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications in speech.

Qualifications

• 4+ years of Software Engineering experience.
• Strong fundamentals with a focus on writing clean & maintainable code.
• Experience building large-scale distributed systems with high demands on model inference, performance, reliability, and observability.
• Strong communication skills with ability to own large scope projects by working cross-functionally across Engineering, AI, Product, Research and Business stakeholders.
• Strong proficiency in Python or Go.
• Experience working with AWS (preferred), GCP or Azure, EKS / Kubernetes.
• Familiarity with batch & real-time streaming protocols like gRPC/protobuf, websockets etc. 
• Familiarity with message queues or similar technologies.
• Deep curiosity about the state of agentic coding tools and how to optimize agent-assisted workflows.
• Nice-to-have: Familiarity with real-time streaming protocols like WebRTC and SIP/SRTP.
• Bachelor’s Degree in Computer Science or related fields.