Software Engineer, Platform (India)

Cartesia Inc.

Job Overview

Location

Bangalore

Job Type

Full-time

Full Job Description

📋 Description

• Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
• Work closely with our research team and product engineers to translate cutting edge research into incredible products
• Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
• You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications

🎯 Requirements

• Strong engineering skills, comfortable navigating complex codebases and monorepos
• A minimum of 3-5 years of experience in software engineering, product engineering or ML platform engineering
• An eye for craft and writing clean and maintainable code
• You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend)
• Experience building large-scale distributed systems with high demands on performance, reliability, and observability
• Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity
• [bonus] Background in or experience working with machine learning and generative models

🏖️ Benefits

• Compensation Competitive base salary alongside attractive equity package
• Health Insurance Fully covered medical insurance along with dental and vision for you and your family
• Parental Leave 9 weeks paternity & 12 weeks maternity leave
• 401(k)
• Commuter Allowance A monthly stipend to help you get to and from the office
• Flexible PTO Take as much time as you need to recharge your batteries
• Meals & Snacks Lunch, dinner and plenty of snacks, provided daily
• Your own personal Yoshi

Skills & Technologies

Python

JavaScript

Next.js

Onsite

Degree Required

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Cartesia Inc.

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About Cartesia Inc.

Cartesia Inc. builds real-time multimodal AI infrastructure that converts speech to text, text to speech, and audio to structured data with low latency. Its streaming APIs and edge-optimized models let developers embed voice capabilities into applications for customer support, transcription, accessibility, and IoT devices. The company emphasizes privacy, on-device processing options, and pay-as-you-go pricing.

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