Top Software Engineer Jobs

Leads a software development team through the full product lifecycle, including user research, product strategy, roadmap planning, application development, testing, code reviews, documentation, team performance management, budgeting, partnerships, and user support. The role also manages Agile processes, reports metrics, develops funding proposals, and participates in conferences and periodic travel.

Researches new technologies and platforms; contributes to software architecture, development, testing, and documentation under senior technical direction. May apply machine learning and cloud computing to solve problems. Collaborates independently and with teams on software-related tasks while communicating findings professionally. Must obtain and maintain eligibility for a U.S. Department of Defense security clearance.

Designs software systems, establishes new projects, extends existing systems, conducts code reviews, and researches technologies and platforms. The role also requires strong communication, leadership of small development teams, and mentoring skills.

Front-End Development Intern contributing to internal and customer-facing websites through maintenance, debugging, feature development, responsive UI implementation, JavaScript functionality, accessibility improvements, usability testing, and cross-browser compatibility. The role collaborates with designers and developers, participates in code reviews and quality assurance, maintains documentation and repositories, and gains mentorship while developing practical web development skills.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Develop and deploy production state-estimation and localization software for autonomous construction machines. Combine GNSS, IMU, lidar, and machine-sensor data; improve reliability through monitoring, fault detection, confidence estimation, and graceful degradation. Build ground-truth systems, offline estimators, metrics, and regression tests. Diagnose issues using field data, replay, simulation, and physical-machine testing while collaborating across controls, perception, safety, hardware, and systems teams.

Build foundational infrastructure, large-scale data extraction systems, agent architectures, data access policies, and production AI agents for enterprise customers. The role also involves cross-stack technical design, production debugging, customer-driven solution development, and shaping the founding engineering culture. This is an in-person role in New York City five days per week.

Design and build backend systems, APIs, distributed data pipelines, and cloud-native workloads for a privacy-first healthcare platform. Process and query large datasets using Python, Spark, SQL, and AWS technologies. Lead technical projects and small engineering teams, mentor engineers, drive architecture and execution, and improve production system reliability, scalability, performance, security, and observability.

Designs and governs scalable ServiceNow solutions spanning workflows, integrations, data, security, user experience, AI automation, and enterprise architecture. Provides hands-on technical leadership, reviews designs and configurations, mentors engineers, leads architecture workshops, resolves complex platform challenges, and ensures governance, maintainability, upgrade readiness, and integration quality. Evaluates ServiceNow capabilities, modernization opportunities, and buy-versus-build decisions while partnering with business, product, security, UX, data, and engineering stakeholders.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.