Junior Software Engineer Testing Frameworks Salary India in San Francisco

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solution

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention. As a Senior Engineer, you will own significant technical domains end-to-end, not just features, but whole problem spaces. You will drive the engineering of systems that power rate visibility, pricing intelligence, and AI-assisted booking across ocean, air, and trucking. You don't wait to be told what to build next; y

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) Partner closely with developers and research engineers to translate complex training requirements into technical solutions Design and architect a global training

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Description of the team The Dashboard Foundations team is the product platform team that stewards the Plaid Dashboard ( dashboard.plaid.com ). As both the portal for applying for production access and also the host for many products, the Dashboard is a critical touchpoint for our customers. Our mission is to build the platform of every product engineer’s dreams, with rich tooling, abstractions, and resources available to support every phase of the software development lifecycle so that developing a high quality, secure product is fast and easy. Our customers are over a dozen teams building in the Dashboard, representing products in areas such as Fraud, Credit, Signal, Account Verification,

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role owns Baseten's relationships and market intelligence across hyperscalers and strategic neoclouds, including NVIDIA cloud partners. This is a technical and commercial role in equal measure: you'll evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and stay close enough to the market to develop and defend a real point of view on where it's heading. Given current market conditions, Baseten needs a much stronger pulse on this part of the market so we can track pricing, stay close to the right relationships, and move fast the moment more capacity is needed. This is a senior, experienced hire who will also help pair with and develop 1-2 junior to mid-level teammates covering the same space. WHAT YOU'LL DO Build and maintain deep relationships across hyperscalers and strategic neoclouds (including NVIDIA cloud partners), working each organization from top to bottom rather than a

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a highly experienced RTL engineer to own critical on- and off-chip interconnect components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip communication fabrics connecting high-bandwidth compute, memory, and I/O subsystems as well as purpose-built off-chip interfaces and protocols needed to enable custom computing at scale. This is a senior, hands-on engineering role with broad technical ownership. You will drive design from requirements through the full silicon lifecycle, from architecture definition and performance analysis through RTL implementation, verification closure, physical design convergence, bring-up, and production readiness. You will plan and oversee the work of junior engineers and help drive and develop productive engineering relationships with external partners and help manage partner execution. This role is based in San Francisco, CA. We use a hybrid work model of

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. Establish standards and best practices for reliability and performance across the infrastructure. Automate processes whe