Principal Software Engineer: Backend & inference

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. With a SaaS-based model, Sanas serves some of the world’s largest enterprises, including Comcast, UPS, UHG. Today, Sanas technology is deployed across >17 of the Fortune 500 and continuing to accelerate growth. 

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 Principal Software Engineer to own 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 set architecture for low-latency, high-concurrency audio pipelines; lead the design of developer and experimentation platforms, and own the training infrastructure that supports model iteration and deployment.

You will have the opportunity to make a significant, organization-wide impact by:

• Owning end-to-end system outcomes: latency and quality SLOs, scalability, reliability, and cost. You will mentor and unblock senior engineers, drive cross-team technical decisions, and deliver production systems that operate predictably at scale.

• Lead the system architecture and define the long-term product vision.
• Setting the technical direction, and resolving challenges for Sanas’ real-time audio and inference platforms and products.

Qualifications

• 8+ years of Software Engineering experience.
• Strong expertise in Distributed systems and related technologies.
• Ability to foster strong engineering principles, industry best practices across the team.
• Strong communication skills with ability to drive large scope projects by working cross-functionally across Engineering, AI, Product, and Business stakeholders.
• Ability to Design and Implement large scale microservice architecture.
• Strong proficiency in Python or Go; async/concurrency, profiling, and memory/GC tuning.
• Experience working with AWS (preferred), GCP or Azure, EKS / Kubernetes.
• Familiarity with capacity planning, vendor selection and ML training/inference infrastructure forecasting.
• Familiarity with batch & real-time streaming protocols like gRPC/protobuf, websockets etc. 
• Nice-to-have: Experience with real-time streaming protocols like WebRTC and SIP/SRTP.
• Nice-to-have: Experience with distributed ML training and inference.
• Bachelor’s Degree in Computer Science or related fields.

Join us in building the world's first real-time speech understanding platform that's revolutionizing how businesses communicate. Our technology empowers agents, transforms customer experiences, and drives measurable business growth. But this is just the beginning—you'll be part of a team exploring the vast potential of an increasingly connected, sonic future.