Top Tech Jobs & Startup Jobs

Design and build ML DevOps infrastructure and end-to-end pipelines to deploy data, models, and software for Edge AI applications. Implement secure repository and CI/CD/CT practices, collaborate with cross-functional teams, and define metrics and monitoring to ensure delivery and operational performance.

Engineering internship opportunities span hardware and chip design, testing and validation, systems performance, AI and machine learning, software and tools, technical enablement, and technical product programs. Interns may build, test, debug, model, analyze, or improve technical systems using programming, hardware, simulation, data, and engineering tools. Candidates must be enrolled in a relevant technical degree program and return to their studies after the internship.

Arm’s Graduate Engineering Pathways Program offers early-career opportunities across hardware and chip design, testing and validation, systems performance, AI/ML, software tools, technical enablement, and technical product programs. Graduates work on real products, solve technical challenges, learn new technologies, and collaborate with experienced teams. Candidates must be pursuing a relevant technical or quantitative university degree and demonstrate hands-on technical problem-solving through coursework, research, internships, projects, or open-source work.

Own product vision, roadmap, discovery, delivery, and launches for network expansion products. Translate complex business, technical, and operational needs into prioritized requirements; partner with growth and engineering teams; manage execution cadences; and use data, experimentation, and feedback to improve reliability, scalability, adoption, and business growth across software, hardware, and physical operations.

MBA interns own product lines, improve supplier quality and cost management, launch website features with technology teams, and lead research and creative teams that explain industrial concepts. The role involves making strategic business decisions, improving customer outcomes, managing product sourcing and inventory, enhancing e-commerce experiences, and leading cross-functional teams. It offers a 10-week paid program with potential progression to McMaster-Carr’s Chicago management team.

Rotational early-career Quality Engineers develop and maintain automated tests, CI pipelines, and validation strategies for complex distributed software systems. Participants rotate across product teams, investigate bugs and regressions, perform performance and security testing, and apply debugging and system-level analysis. The program includes onboarding, mentorship, and potential transition into a permanent role focused on test automation, performance engineering, or security testing.

Early-career software engineers rotate across two InterSystems product teams after onboarding, contributing to front-end, back-end, or full-stack projects. Responsibilities include learning technologies and development practices, working on real codebases, collaborating cross-functionally, and applying software engineering fundamentals. Participants receive mentorship and may transition into a long-term software development role based on performance, interests, fit, and business needs.

Leads the Managed Services analytics roadmap, KPI governance, Power BI dashboard strategy, reporting automation, and AI-augmented metrics services on InterSystems IRIS. Provides technical leadership in SQL, ObjectScript, APIs, data models, interoperability, query optimization, and application performance. Establishes data-quality and reporting standards, develops predictive analytics, mentors analysts and engineers, investigates complex issues, and advises senior leadership on operational performance, risks, and investment priorities.

Develop and execute consultative sales strategies for healthcare revenue cycle products. Prospect new opportunities, follow up on marketing leads, prepare proposals and contracts, manage account relationships, communicate product offerings, build territory strategy, and track sales activity and quota performance.

Serves as the primary client contact for Waystar solution setup and design during healthcare revenue cycle implementations. Ensures contracted deliverables meet requirements, manages deadlines, builds relationships with client stakeholders and executives, communicates implementation issues, assesses root causes and impacts, recommends solutions and costs, and reports on customer success. Requires healthcare revenue cycle expertise, technology and database knowledge, HIPAA familiarity, troubleshooting skills, and up to 20% travel.

Own the architecture, administration, and optimization of core enterprise platforms including Okta, Jira, Confluence, Google Workspace, and Slack. Lead SaaS adoption, AI enablement, lifecycle automation, audits, security improvements, documentation, troubleshooting, and support across 30+ applications. Serve as a technical expert, provide white-glove stakeholder support, and mentor junior systems engineers in a hybrid workforce environment.

Recruit clinical and operations candidates in a high-volume, fully remote environment. Responsibilities include partnering with hiring managers, managing requisitions, sourcing, screening, interviewing, pipeline development, background checks, offer negotiation, onboarding coordination, ATS maintenance, compliance monitoring, and using recruiting metrics to improve efficiency and candidate quality.

Own the clinical platform strategy and roadmap, including the validated patient record, patient identity, service catalog, composition grammar, and configurable authoring tools. Lead the extended clinical partner network platform, publish and version internal and external contracts, manage migrations and deprecations, and collaborate with clinical, partnerships, AI, engineering, and health plan stakeholders to scale care delivery.

Build and deploy production machine learning systems across computer vision, multimodal modeling, structured data, and agentic AI. Own projects from problem definition through monitoring, develop data and evaluation pipelines, establish feedback loops, and translate experiments into practical technical recommendations. Collaborate with product, engineering, operations, annotation teams, and domain experts while delivering maintainable code, documentation, and scalable ML solutions.

Support portfolio managers across ABS, CLO, CMBS, RMBS sectors by sourcing and implementing investment ideas, performing quantitative and fundamental research, building analytics and monitoring tools, preparing investment materials, and partnering with tech, research, trading, and client teams to manage securitized portfolios.

Serve as primary client contact for consultant firms, manage service delivery and expectations, resolve operational issues, coordinate cross-functional solutions, support RFPs and client reporting, drive process improvements, and assume independent client coverage.

Lead strategic relationships with large private markets clients, owning relationship health, retention, growth, commercial strategy, and executive engagement. Advise clients on Aladdin and eFront across investment, portfolio, data, operational, and middle-office workflows. Coordinate Product, Sales, Implementation, Engineering, and other teams to deliver client outcomes, develop market insights, support negotiations, and identify revenue opportunities. Lead, coach, and develop client team members.

Build and evolve Avant’s data platform by automating data lifecycles, integrating systems, enabling governed self-service analytics, and scaling Databricks-based data solutions. Partner with Business Operations and Product teams to define requirements and technical solutions. Develop practical, reliable, observable, and cost-effective Generative AI and agentic tooling that improves analyst workflows and delivers measurable business value.