Applied AI & Analytics Co-op Opportunities

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are hiring a Lead AI Native Engineer to build RoboForce’s vertical agents and shared agent foundation. Reporting to the co-founder, you will turn frontier models into systems for strategy and engineering. This is a hands-on technical leadership role: you will write code, set architecture, and enable agent development—not lead People programs or organizational transformation. Responsibilities Build vertical agents. Own end-to-end agents for high-value workflows across research, software, hardware, data, and operations—from problem definition through production use. Establish the agent foundation. Build reusable primitives for models, tools, orchestration, context, memory, retrieval, permissions, human approval, and long-running execution. Create the context layer. Connect agents to trusted data through APIs, pipelines, MCP servers, and integrations with clear provenance and access control. Own evaluation and reliability. Build benchmarks, regression tests, tracing, monitoring, and failure-analysis loops across quality, latency, cost, security, and resilience. Advance frontier agent usage. Evaluate new models, coding agents, SDKs, and patterns, then turn useful capabilities into maintainable systems rather than demos. Support strategic initiatives. Help company leadership apply agents and analytical systems to market and customer intelligence, partnerships, fundraising, diligence, scenario analysis, and executive decisions. Provide technical leadership. Set architecture and engineering standards, review designs and code, and create reusable patterns for the technical team. Requirements 5+ years in software engineering, applied AI, ML systems, or a related field, with strong zero-to-one technical judgment. Exper

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron's Firmware & Product Test (FPT) team is hiring a Staff Engineer to lead validation strategy for enterprise SSD firmware. In this role, you'll architect next-generation test frameworks, drive AI/ML-powered validation methodologies, and own end-to-end verification of complex NVMe front-end features across multiple product lines. You'll serve as a technical authority at the intersection of firmware validation and applied machine learning — shaping the strategic direction of our test infrastructure, mentoring engineers, and influencing firmware architecture decisions through deep validation insights. The FPT team builds verification plans in Python, enforces NVMe and security protocol compliance, and executes white-box, grey-box, and black-box testing across simulation, FPGA, and prototype hardware environments. Responsibilities Lead the design and execution of firmware verification strategies for customer specifications and NVMe protocols, owning validation of complex front-end features (SMART, Trim, Get Log Page, OCP) across multiple product lines. Architect scalable grey-box, white-box, and black-box test frameworks that become organizational standards for firmware quality. Drive root-cause analysis for critical field and regression failures; establish systematic debug methodologies and knowledge-sharing practices across the team. Own the test infrastructure roadmap — including automation frameworks, CI/CD integration, and reporting dashboards — and influence t

SCG sits at the crossroads of design, architecture, marketing, and productization—owning the journey from the architecture stage through final product definition across Gaming, Datacenter, Automotive, and Embedded markets. As a System Verification CoDesign Engineer, you will work on system-level speed features, develop the verification collaterals and automation infrastructure to characterize and validate them, and lead debug of the complex silicon issues that stand between a program and on-time shipment. This is a hands-on role for an engineer who combines deep technical craft with the drive to compress cycle time using modern tooling—including AI—without losing rigor. What You’ll Be Doing: Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products. Understand system level behavior and speed reliability margins, bounding box constraints and identify solutions that optimize margins . Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows. Perform closed loop validation by correlat ing silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs. Define, prototype, and refine pre- and post-silicon bring-up flows to ensure

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the Firmware & Product Test (FPT) team, responsible for validating the firmware that powers Micron's enterprise SSD portfolio. Our team develops scalable validation solutions, advances automation, and applies emerging technologies to improve product quality and reliability. If you enjoy solving complex technical challenges and influencing how enterprise storage products are tested, you'll find exciting opportunities here! As a Staff Engineer, you will lead validation strategy for enterprise SSD firmware and help shape the future of test infrastructure and methodology. You will drive verification of critical NVMe features, champion AI-enabled validation approaches, and provide technical leadership across product lines. This is a highly visible role with opportunities to influence product quality, mentor engineers, and improve engineering efficiency through automation and data-driven insights. Responsibilities Lead validation strategy and execution for NVMe front-end features across enterprise SSD products Architect and enhance scalable test frameworks to improve automation, coverage, and firmware quality Drive root-cause analysis of complex failures and establish effective debug methodologies and standard processes Define and advance validation infrastructure, including automation, CI/CD integration, regression systems, and reporting tools Mentor engineers and collaborate with multi-functional teams to improve testability,

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. We’re looking for a Manager/ Sr. Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale. This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance. You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency. This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership. You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions. In this role, you will: Set vision and lead execution Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy. Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives. Build and lead a high-performing team Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders. Establish best practices across data modeling, experimentation, an

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. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: Design and build scalable backend services and distributed systems that power production AI and agentic applications. Develop APIs, orchestration services, and platform capabilities for internal AI products. Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python li