Cartesia Off Campus recruitment for Freshers | Software Engineer
💼 Experience: Fresher
💸 ₹ INR ₹70L – ₹90L
🎓 B.E/BTech/M.E/MTech/B.S/M.S/BCA/MCA/BSc/MSc/PhD
💻 Job Role: Software Engineer
🌎 Job Location: Remote
Job Description:
- Profession: Software Engineer
- Employment type: Full-Time
- Position type: Entry Level
- Work Location: Remote
- Year Of Passout: 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026 only.
- Degrees: B.Tech/BCA/B.Sc/B.S/BE/MCA/M.Tech/M.Sc/M.S/ME/PhD/Integrated Dual Degree (B.Tech + M.Tech)/Integrated Dual Degree (B.Tech + MBA)
- Branches: Computer Science Engineering, Information Technology, Artificial Intelligence and Machine Learning, Data Science
- Backlogs allowed: Yes
- Gaps allowed: Yes
- Company: Cartesia Private Limited.
Role Responsibilities:
We’re opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence.What You'll Do-
- 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.
What You'll Bring-
- Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
- Strong engineering skills, comfortable navigating complex codebases and monorepos.
- 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.
- Even if you don’t meet every requirement above, we'd encourage you to apply.
Our perks:
- 🍽 Lunch, dinner and snacks at the office.
- 🏥 Stipend to cover medical insurance
- 🦖 Your own personal Yoshi.
Our culture:
- 🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together and learning from each other everyday.
- 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality and design along the way.
- 🤝 We support each other. We have an open and inclusive culture that’s focused on giving everyone the resources they need to succeed.
