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The Staff/Principal Engineer will support material quality, filtration strategy, and risk mitigation initiatives globally, collaborating with teams to align technical requirements and improve manufacturing performance.

Lead tapeout execution and release coordination for HBM designs, manage schedules, ensure compliance with release prerequisites, and track closure of signoff items before tapeout.

Lead and develop a software engineering team supporting Manufacturing IT: manage workloads, set goals, coach and train staff, partner with product owners to define requirements, oversee delivery, and collaborate with global IT and manufacturing leaders to drive strategy and improvements.

The role assists clients with the enrollment process, ensuring timely completion of EDI transactions and resolving payer approvals and denials.

Provide phone, chat, and ticket-based technical support to Waystar clients—troubleshoot issues, use internal systems to research solutions, document interactions, and continually learn product features to maximize client success and satisfaction.

Deliver technical training for customers and employees, design training materials, assess needs, and contribute to continuous improvement in training methodology.

Generate qualified pipeline for Stream's AI Moderation product through targeted outbound prospecting (phone, email, LinkedIn), conduct discovery, book meetings with ICP prospects, collaborate with AEs, maintain Salesforce CRM accuracy, hit activity and pipeline goals, and iterate on outbound messaging and experiments.

Manage global tax provision and compliance, coordinate with external tax providers for SEC filings, prepare reconciliations and tax returns, maintain current and deferred tax reporting, conduct tax research and studies (transfer pricing, R&D credits, 382), handle tax notices and audits, run monthly/quarterly close processes, and support M&A, due diligence, and tax planning.

Manage LiveDesign implementation projects and ensure customer success with the Schrodinger Platform by collaborating with internal teams and representing customer needs in product development.

The role involves identifying and engaging prospective customers, meeting them face-to-face to understand their needs, using effective sales approaches to win new business, and building long-term customer relationships.

Develop and improve robotic manufacturing processes, collaborate with teams for optimization, assist in implementing end-of-arm tools, and analyze manufacturing data to enhance efficiency.

Develop, integrate, and field autonomy software for expeditionary unmanned aircraft (V-BAT/X-BAT). Own features from software-in-the-loop to live flight tests, collaborate with aircraft and perception teams, lead technical integration, support field deployments and mission testing, and troubleshoot hardware/software issues.

Manage a team of engineers developing autonomy applications, focusing on customer use cases, operational readiness, and training material creation.

Lead technical delivery and integration of autonomy software for launched effects, including autopilot integration, multi-agent coordination, and fleet-scale deployments. Collaborate with autonomy, perception, vendors, and customers; lead design, testing, debugging, mission support, documentation, and pre-deployment readiness for disconnected or air-gapped operational environments.

Lead and scale a detection engineering and automation team to develop, deploy, tune, and optimize high-fidelity detections across endpoint, identity, network, and cloud. Drive detection strategy, SIEM/EDR/SOAR integration, cloud-native detection capabilities, automation to reduce analyst toil, cross-functional alignment, metrics reporting, and executive communication of detection posture and risk.

The Engineer will work on CIAM architecture, design, implementation, and administration. Responsibilities include integration of IAM systems, documentation, solution design, and collaboration with various teams.

Lead strategy and roadmap for search and browse on Zoro.com. Collaborate with data scientists, engineers, design, and merchandising to improve search, recommendations, and product information. Define KPIs, run experiments (A/B tests), prioritize high-impact work, and drive measurable customer and business outcomes.

Lead development and execution of promotional, loyalty, and incentive strategies to drive engagement, retention, and lifetime value. Use customer and performance data to identify opportunities, design tests, measure outcomes, build business cases, and manage cross-functional initiatives with Product, Marketing, Analytics, Pricing, Merchandising, and Finance.

Lead the Applied AI organization, architect AI-focused operating models, manage a team of AI engineers, and redesign business processes for improved efficiency and cost savings.