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Sanas

Senior Software Engineer: Backend & Inference

Posted 9 Days Ago
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In-Office
Palo Alto, CA, USA
Senior level
In-Office
Palo Alto, CA, USA
Senior level
The Senior Software Engineer will design and build scalable audio inference systems, mentor junior engineers, and collaborate with teams to develop products using cutting-edge AI technologies.
The summary above was generated by AI

Sanas.ai 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 transformation platform capable of accent translation, noise elimination, speech enhancement, and cross-language communication.

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.


Since going to market in 2023, Sanas has scaled at an extraordinary pace, growing from $0 to $32M ARR in under two years, with a projected >$50M ARR by the end of 2025. The company recently recorded its first $10M quarter and is on track to achieve $120M in ARR next year.


The company’s valuation has a clear trajectory toward multi-billion-dollar market capitalization as it continues to expand into new verticals and product categories. With a TAM that spans all human in the loop communications and beyond, Sanas has the potential to impact every industry and every global interaction.


Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard.


Sanas is a 200-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. 


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.


Top Skills

AWS
Azure
Eks
GCP
Go
Grpc
Kubernetes
Protobuf
Python
Websockets

Sanas Palo Alto, California, USA Office

Palo Alto, CA, United States

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