At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our team builds and operates Snowflake's Streaming Platform — the core infrastructure responsible for bringing data into Snowflake continuously and at scale. This includes Snowpipe Streaming and Datastream, services used by large set of enterprise customers to move mission-critical data in real time. Data is the fuel powering the new enterprise AI world, and we are the team responsible for getting it there reliably, continuously, and fast. Responsibilities Design, build, and maintain core components of Snowflake's streaming ingestion platform Improve service reliability, scalability, and latency under high-throughput production workloads Debug and resolve incidents in a distributed, multi-tenant cloud service Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns Participate in code reviews, on-call rotations, and architecture discussions Required Qualifications 3–5 years of software engineering experience on large-scale distributed systems or cloud services Strong proficiency in Java or C++ Deep understanding of distributed systems concepts: consistency, faul
Market pay estimate
$196,750–$243,290 / year for comparable Senior Software Engineer roles in United States. Not employer-provided.
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Role overview
Job description
NVIDIA's GeForce Now, the next-generation gaming service powered by NVIDIA GPUs in the cloud, transforms a Mac, any PC, or just a mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date, and users around the globe can instantly stream the latest games in high-definition resolution at the lowest latency for the smoothest gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now. In addition to gaming, the state-of-the-art low-latency streaming technology has expanded to a new range of applications, including augmented and virtual reality, artificial intelligence, and robotics.
We are now looking for a Senior Software Engineer – Streaming with strong C++ skills and a deep interest in streaming technologies to join a team of highly skilled and motivated software engineers who help build the next generation of applications with media and data streaming capabilities. Now, are you passionate about driving this technology to its edge? Do you understand various streaming protocols? Can you solve complicated problems and propose innovative solutions? Then, we are keen to hear from you.
What you’ll be doing:
Design, develop, optimize, and debug C++ software for ultra low-latency streaming systems.
Build and improve media streaming pipelines using technologies such as WebRTC, GStreamer, RTP/RTCP, and related protocols.
Analyze CPU, memory, networking, media pipeline, and scheduling behavior across real-world workloads.
Work across Windows, Linux, QNX, applications frameworks, and embedded platforms.
Define and implement KPIs for networking quality, streaming quality, and user experience.
Integrate streaming software with platform services, connectivity layers, and/or automotive system components.
What we need to see:
Master's degree in Computer Science, Electrical Engineering, or equivalent experience.
8+ years of proven experience in C++ software development, optimization, and debugging.
Strong understanding of operating systems, multithreading, memory management, networking, and systems programming.
Ability to debug complex issues across software, OS, media pipelines, platform, and hardware boundaries.
Strong analytical and problem-solving skills, with a self-motivated approach.
In-depth knowledge of WebRTC architecture, peer connection lifecycle, ICE handshake, and real-time protocols (SRTP, DTLS-SRTP, SCTP).
Ways to stand out from the crowd:
Hands-on experience with streaming protocols and technologies such as RTP, WebRTC, WebSockets, and QUIC.
Experience with video codecs and formats such as H.264/AVC, H.265/HEVC, AV1, color spaces, or hardware-accelerated encode/decode.
Experience with QNX, QNX Safety, Linux, or embedded operating systems for safety-critical platforms is a strong plus.
Experience with automotive software, telematics, connected vehicle platforms, infotainment, or car connectivity.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.What they are looking for
Skills & requirements
Qualification
What we need to see: Master's degree in Computer Science, Electrical Engineering, or equivalent experience
Hiring company
Nvidia
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