Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that enable exceptional member and provider experiences. The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams. This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability. Responsibilities Lead quality engineering execution across a defined portfolio, domain, or set of technology products and applications. Build, develop, and coach high-performing quality engineering teams, including managers, leads, engineers, and SDETs. Drive consistent quality engineering practices across agile teams, with a focus on built-in quality and shared accountability. Oversee quality planning and execution across functional, integration, end-to-end, and regression testing. Partner with Engineering and DevOps teams to support release readiness, validation, and stable production deployments.
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At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: As an Intern at Sigma, you’ll work on documentation for various production features and learn best practices of developing user assistance for enterprise software in a fast-paced release environment. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of agentic workflows for app development, business insights, and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary : Equipment Technicians are responsible for monitoring, sustaining, and improving the equipment in their assigned area, while working in partnership with Shift Operations team members, area equipment engineers and tool vendors. Equipment Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to repair equipment issues. Main Responsibilities : • Performs electrical or mechanical troubleshooting to determine problems in non-functioning electro-mechanical equipment used in the manufacturing process • Dismantles, adjusts, repairs and assembles equipment according to layout plans, blueprints, operating or repair manuals, rough sketches or drawings • Uses test and diagnostic equipment to perform checkouts. • Rebuilds manufacturing equipment as required • May perform equipment modifications as directed by engineers. Minimum Required Qualifications/Experience Diploma in Engineering. Mechanical/Electrical/Electronic Engineering is preferred Able to work on 12 hours rotating shift. No experience required, training will be provided</s
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the Role We are looking for a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI. In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production. What You'll Work On Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality. Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product. Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions. Form your own hypotheses, then design A/B tests that use real traffic to validate them. Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt. Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress. (Optional) Mentor junior scientists and interns, if the need arises. What We're Looking For (Minimum Qualifications) Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields At least 2 years of experience in machine lea
Lead Analyst Company: The Boeing Company Boeing F-22 Mission Systems team is hiring for a Lead Analyst located in Berkeley, MO . As Lead Analyst, you will be responsible for analyzing engineering solutions for the F-22 Raptor, including both enhancing existing field units with the addition of new capabilities as well as architecting and testing completely new systems. In this role you will be joining a cross-functional team to progress our products through the development lifecycle. Position Responsibilities: Leads analysis and translation of complex requirements into system architecture, hardware and software designs and interface specifications. Must be able to work in a fast-paced, collaborative environment, engaging with multiple teams and being responsive to agile requirements and critical path customer need dates. Collaborates with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system requirements for F-22 avionics sub-systems and weapon system architecture Analyzes and translates requirements into system architecture, hardware and software designs and interface specifications in support of lab and operational environments Reviews test data, including off-nominal data, for accuracy, quality and/or fidelity prior to delivery to customer This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship A final Secret Clearance
F-22 Lead System Designer Company: The Boeing Company The Boeing F-22 Raptor team is seeking a Lead System Designer in Berkeley, MO to join the F-22 Raptor Mission System Design Team with a focus on developing cutting edge engineering solutions to continue to advance the world’s premier air superiority fighter, located in Berkeley, MO. The Lead System Designer will interact directly with customers, suppliers, partners, program management, integration, software, and test engineers. The selected applicant will be a member of a geographically dispersed, high-performing, collaborative team, and must be self-motivated with a strong work ethic, excellent time-management, and strong communication and interpersonal skills. The team operates in the Scaled Agile Framework (SAFe) to support all aspects of product development. The applicant will be expected to actively help the team to continuously improve and develop innovative and creative solutions to products and processes and to coach the team in system design best practices. Position Responsibilities: Collaboration with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system and software requirements for F-22 avionics sub-systems and weapon system architecture Resolve technical issues through coordination with engineering using established processes . . Manage Deliverables by defining plans for risk mitigation, issues, and opportunities; and, monitoring baseline plans to assess project performance, productivity, and lessons learned. Brief customer and program leadership on program status;
FEQ427R171 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Germany. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team in Germany Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in Data Engineering, Database technologies or Data Science Strong communic
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. The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise. As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices. Responsibilities Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures. Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications. Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency. Research, evaluate, and prototype emerging AI techn
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. Equipment Technicians are responsible for monitoring, sustaining, and improving the equipment in their assigned area, while working in partnership with Shift Operations team members, area equipment engineers and tool vendors. Equipment Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to repair equipment issues. Responsibilities and Tasks: Adhere to safety protocols, including wearing Personal Protective Equipment (PPE). Operate, maintain, and output data from equipment such as IC, GC, and ICP-MS. Conduct abnormal analysis and reaction tracing. Qualifications: Preferred background in Chemistry, Chemical Industry, or Chemical Engineering (not mandatory). Higher vocational education or above is a significant advantage. Ability to wear PPE and work in a cleanroom (Chemical Lab) environment. Availability to support day/night shifts and maintain regular attendance. Proficiency in PC applications, including Microsoft Excel, Word, and PowerPoint. Patient, well-communicated, and proactive with a strong teamwork ethic. Willing to work in FAB/LAB environment. Willing to wear PPE suit. Discipline and attention to detail are essential for this role. Basic skills in analyzers (IC/ GCMS/ ICPMS...) and Microsoft Office. Basic En
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the pa
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Hardware is becoming critical to how AI gets built, and the legal questions are as new as the technology. We're hiring a Commercial Counsel, Hardware to help Anthropic's product teams move fast, build safely, and get the legal calls right. In this role, you'll negotiate a high volume of fast-moving deals for hardware, components, software, and emerging technology procurement needs. This role will also lead multifaceted technology, data, and partnership deals, many of them the first of their kind at Anthropic. You'll be the legal and risk partner that technical and business leaders turn to when they need a fast, practical read on a deal or purchase. You'll clear low risk transactions quickly, spot the ones that deserve a closer look, and build scalable solutions as new complexities come up, all while working alongside Procurement and Finance and Legal colleagues in areas like privacy, IP, and trade. Along the way, you'll also support partnerships with major tech companies, universities, and media organizations, which gives you a view across much of the business. Key responsibilities Negotiate and close a high volume of agreements for hardware and components, including review of embedded firmware and companion software licenses Structure and negotiate complex technology, data, and partnership agreements Track legal and regulatory changes that affect hardware products and components, such as product safety rules and restrictions on foreign-made components, and explain what they mean for our plans Identify trade, export control, sanctions, and supply chain concerns in cross-border sourcing, and work with our national securi
About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach's Summer 2027 Engineering Internship, Software is open for future engineers and builders who want to work with us. This is a paid, in-person, 12-week internship. Depending on your background and team placement, you might work on: Flight Sciences — aerodynamics, performance, stability & control, trajectory analysis, and modeling for next-generation aerospace systems Flight Test Operations — planning and executing flight tests, developing test cards and procedures, analyzing flight data, and supporting safe and effective test operations Vehicle Design — aerodynamic, structural, thermal, and mechanical design of aircraft and aerospace vehicles Propulsion & Aerothermal Systems — propulsion integration, thermal management, combustion, and performance analysis for advanced aerospace platforms Guidance, Navigation & Control (GNC) — guidance algorithms, flight control, navigation, state estimation, and trajectory planning for autonomous and crewed systems Systems Integration — integrating airframe, propulsion, avionics, GNC, software, and other subsystems into a complete flight vehicle Modeling & Simulation — hi
Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in
About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most. As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on. Key responsibilities Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register Run continuous monitoring after approval:
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