Top Tech Jobs & Startup Jobs in NYC, NY

Build and own healthcare product surfaces end to end, from user discovery and interface design through API development, deployment, measurement, and migration from Salesforce or Athena. Work across React/TypeScript and Python/FastAPI on AWS, apply AI agents and LLM features, collaborate directly with clinicians and coordinators, and ensure rigorous handling of PHI, access control, and HIPAA-sensitive workflows.

Define multi-generation hardware/software architectures for AI inference silicon, including boot, memory, DMA, scheduling, security, telemetry, and host/device interfaces. Integrate firmware, Linux, runtimes, simulation, and developer tooling; lead architecture reviews; resolve cross-team technical issues; prototype high-risk interfaces; and mentor senior engineers. The role requires deep systems expertise, strong C or C++ skills, and architecture-level ownership across pre-silicon, silicon bring-up, and production software.

Leads technical execution of a federal IAM modernization project, overseeing migration from legacy AIMS and PAS systems to a cloud-based solution. Manages Agile delivery, schedules, deliverables, backlogs, user stories, sprint scope, release management, environment support, stakeholder coordination, and operational planning while ensuring quality and Definition of Done compliance.

Design, program, commission, and troubleshoot PLC/HMI-based control systems for mission-critical AI data center infrastructure. Responsibilities include control panel and schematic design, network and protocol configuration, VFD controls, P&ID-based logic development, BMS integration, FAT/SAT support, commissioning, field troubleshooting, and maintaining engineering documentation. The role collaborates with mechanical, electrical, and systems engineers and requires onsite work in San Francisco, Long Beach, or Houston.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Own technical support for enterprise SaaS customers by triaging and resolving complex issues, especially SSO and SCIM problems. Investigate logs, APIs, and browser tools; communicate status to Customer Success and Engineering; and manage escalations through resolution. Build runbooks, decision trees, and automation using AI tools to improve support scalability and enable self-service. Participate in customer troubleshooting calls and continuously improve support processes.

Designs, architects, and develops enterprise Pega solutions for Department of Veterans Affairs projects. Responsibilities include requirements gathering, Pega PRPC implementation, cloud and API integration, data modeling, code reviews, performance optimization, technical documentation, and stakeholder collaboration within Agile DevSecOps teams.

Develop and manage customer marketing programs, including customer references, communities, newsletters, case studies, testimonials, and user groups. Collaborate with Sales, Marketing, and Customer Success to support commercial initiatives, analyze program ROI, manage customer rewards budgets, and encourage customer participation in technology reviews and analyst reports.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.