Role Description Join Planet's Edge Compute Team as an Edge Compute Spacecraft Intern! We conduct tech demos and operational constellations and we're designing, manufacturing and launching record-breaking numbers of spacecraft. As an intern and under the mentorship of experienced professionals, you will be an integral part of our design process, prototyping and testing edge compute modules and algorithms for processing data onboard satellites. This is a fantastic opportunity to learn, grow, and engage with seasoned Planeteers from teams such as the analytics machine learning team and work to co-develop edge computing solutions for Planet’s next generation of spacecraft. This is a full-time, remote position based in Denver, CO. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own - Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft - Develop pre-processing of raw imagery onboard the satellite to make them usable by the machine learning algorithms - Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects - Explore and develop new methods for improving detection performance and improving the runtime of inference Qualifications - Experience with computer vision, machine learning, and deep learning-based approaches - Ability to deploy algorithms and solutions to solve real-world problems in computationally constrained environments - Proficiency in C++, Python, or related tools and system SW architecture - MS or PhD in EE/CS/Physics Requirements - Experience managing and doing GPU-based computing on large data sets - Experience with machine learning on earth observation data sets Benefits - Commuter Benefits - Paid time off for holidays and company-wide days off - Internet reimbursement - Access to LinkedIn Learning Application Deadline April 13, 2026 at 11:59p PT EAR/ITAR Requirements This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

• Create and maintain clear, comprehensive, and up-to-date technical documentation. • Design standardized policies, runbooks, and workflow processes. • Integrate AI tools (ChatGPT, Notion AI, Claude, etc.) to streamline processes. • Manage technical knowledge repositories (Confluence, Notion, GitHub Wiki). • Collaborate with Development and QA teams to validate and update information.

• You'll use your experience with ParaView to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world CFD and scientific visualization workflows.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Principal AI Consultant, Financial Services, AI COE Role Summary NiCE is seeking a Principal AI Consultant to bring deep financial industry expertise into our AI Center of Excellence. This is a principal-level individual contributor role for a senior Financial Services expert with significant experience in customer operations, contact center environments, digital servicing, CX transformation, and the practical application of AI in service organizations. This is not a technical AI engineering role. It is an industry SME role focused on helping NiCE and our customers apply AI in ways that are operationally relevant, credible, and aligned to business goals. You will serve as a trusted advisor to internal teams and enterprise customers, bringing expert knowledge of Financial Services operations, service journeys, automation opportunities, customer expectations, regulatory sensitivity, and industry trends. You will help connect NiCE AI solutions such as Copilot, AutoSummary, Autopilot, and Conversational AI to the realities of Financial Services environments and identify where AI can improve efficiency, service quality, employee productivity, and customer experience. Key Responsibilities Act as the Financial Services SME - Serve as the primary Financial Services subject matter expert within the AI Adoption COE - Bring deep understanding of Financial Services operations, customer journeys, business processes, and operating models into internal and customer-facing conversations - Help internal teams speak credibly to Financial Services priorities, service challenges, and transformation opportunities Advise on AI Use Cases, Journeys, and Value - Identify high-value opportunities for AI across Financial Services service environments, including account servicing, lending, collections, fraud-related servicing, claims, policyholder support, and digital self-service - Advise on where AI can automate workflows, augment employees, reduce friction, and improve customer experience - Connect NiCE AI capabilities to business goals, contact center KPIs, and operational improvement opportunities - Help customers and internal teams understand practical considerations for AI adoption in trust-sensitive and regulated environments Support Strategic Customer and Internal Engagements - Participate in executive briefings, workshops, QBRs, and strategic account conversations as an industry advisor - Support account planning and adoption conversations with industry-specific insight and executive-ready recommendations - Help shape practical, high-impact AI narratives for Financial Services customers Raise Industry Readiness Across NiCE - Educate consultants, leaders, and cross-functional teams on Financial Services trends, service models, AI opportunities, and operational realities - Contribute to industry playbooks, messaging, point of view content, and best practices - Surface recurring customer needs, market shifts, and industry opportunities to product, strategy, and adoption leaders Success Measures Success in this role will be measured by: - Improved industry credibility in Financial Services customer engagements - Stronger alignment between NiCE AI solutions and Financial Services customer priorities - Higher quality industry-specific adoption strategies, use case recommendations, and executive narratives - Increased internal readiness and fluency in Financial Services and AI-related conversations - Meaningful contribution to customer outcomes, workflow improvement, and AI value realization Required Qualifications - 12+ years of experience in Financial Services operations, contact center leadership, CX transformation, digital servicing, consulting, or industry advisory - Deep expertise in one or more Financial Services segments such as banking, lending, mortgage servicing, insurance, wealth management, fintech, or financial BPO - Demonstrated experience advising on, implementing, or operationalizing AI and automation use cases within Financial Services service or operations environments - Strong understanding of customer service and contact center operations in Financial Services environments - Strong knowledge of customer journeys, service processes, and common friction points in regulated or trust-sensitive environments - Ability to connect business priorities to KPIs such as AHT, ACW, FCR, containment, CSAT, productivity, and cost-to-serve - Strong executive communication, facilitation, and consulting skills - Proven ability to influence senior stakeholders and act as a trusted advisor - Willingness to travel as needed Preferred Qualifications - Experience working with large enterprise Financial Services organizations - Experience in contact center transformation, self-service, workflow redesign, or operational excellence - Familiarity with NiCE, Genesys, Five9, or similar platforms - Experience helping organizations evaluate, adopt, or optimize AI in service environments - Understanding of responsible AI considerations in Financial Services environments About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.