Engineering Jobs

Senior Manager, Engineering - R&D — Portage, Michigan. Apply via Workday.

Senior Manager, Field Applications Engineering — 2 Locations. Apply via Workday.

Staff Engineer, Package Development & Engineering — 2 Locations. Apply via Workday.

Senior Engineer, R&D Engineering Services & Labs — Fremont, California. Apply via Workday.

Vice President, Information Security Engineering — Arlington, Virginia. Apply via Workday.

Data Scientist, Innovation Engineering Technology — Taichung - Fab 16, Taiwan. Apply via Workday.

VP, Application Reliability & Operations Engineering — 5 Locations. Apply via Workday.

Manager, Software Development & Engineering (Mobile – Camera Experience) — 2 Locations. Apply via Workday.

Sr. Data Engineer - Data Engineering 4B — Uppal, STPI. Apply via Workday.

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. Product Marketing, AI-Powered Data Engineering Intern Location: Menlo Park, California, United States 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. Snowflake started as the place companies go to understand their data. Now we’re making it the place they put that data to work for AI. Our Data Engineering team builds the pipelines, platforms, and AI-driven solutions that power how Snowflake goes to market, from customer intelligence and launch readiness to the stories that bring our impact to life. We sit at the intersection of engineering, go-to-market strategy, and customer storytelling. As an intern on this team, you'll build

(GAQ427R231) About the role As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale. We are looking for a Product Finance leader to own R&D capital allocation and engineering operations. You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development. The impact you will have Drive product-level ROI and R&D capital allocation Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high. Operationalize ROI metrics so they directly inform product investment and resource allocation decisions. Define engineering economics in the AI era Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital. Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments. Shape global workforce and location strategy Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines. Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning. Scale R&D finance operations and build the team Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance. Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders. Build, mentor, and scale a hi

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up to 25-50% as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a Technical Program Manager (TPM) in our Forward Deployed Engineering division, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the FDE practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. The Impact You Will Have Portfolio Success : Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. Operational Excellence : Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. Strategic Alignment : Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. Leadership Hub : Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. Mentorship : Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For Experience : Extensive experience managing complex technical programs. Experience with Product Management is a plus. Technical Bar : Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. AI Proficiency : Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. Process Innovation : A track record of enhancing delivery standards and implementing changes that improve operational performance. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Uni

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Be part of the team and explore how you can make a lasting impact on the world! We are looking for a Senior Manager, Software Engineering to lead the evolution of our DevOps, Build Engineering and Infrastructure team. You will build and guide a high-performing engineering team responsible for building, testing, verifying and releasing core software that help NVIDIA employees deliver the core CUDA driver, runtime, and related language specific libraries in C++, Python and Rust such as CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, and cuda-rust. This hands-on leadership role combines people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products software development, CI/CD, and agentic AI experiences. Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive developer experience and the platform serving a global workforce. Plan and manage team execution, including project prioritization, workload balancing, achievement tracking, dependency management, and predictable delivery. Provide hands-on technical leadership across Perforce, Git, GitHub, GitLab, and multiple CI/CD pl

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. Data Transformation is the foundational product portfolio that makes enterprise Agentic AI possible. Our mission is to transform the full enterprise data estate. We build the product that guides customers through every layer of a modern AI architecture: from Platform Foundation & Migration, through Data Ingestion & Engineering, to Semantic, Context, Ontology, & Governance layers. By unlocking each layer, we enable customers to deploy Agentic AI with full, governed access to their complete Snowflake data estate. The Data Transformation workflows are some of the most complex enterprise challenges and the most impactful for our customers and for Snowflake. FRONTIER ENGINEERING Sitting within Snowflake’s Frontier Engineering organization —a specialized team of Engineers, Product Managers, Solutions Architects, and AI Experts—you will own Snowflake’s Data Transformation product portfolio. Your scope spans intelligent migration products that understand and rewrite legacy application logic, multi-source ingestion pipelines, legacy data warehouse modernization, ETL/ELT transformation, and data platform rationalization. In this role, you will set product vision, lead a team of PMs, and deliver the tooling that turns fragmented legacy infrastructure into an AI-first enter