Top Engineering Jobs

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.

Designs subsurface utility engineering plans using civil engineering calculations and CAD software. Conducts job-site field visits, gathers utility information, prepares engineering documents, and supports client meetings and business development. Collaborates with project teams to meet schedules and budgets while learning SUE technologies, electromagnetic equipment, and Trimble tools. Requires a civil engineering degree, strong communication and analytical skills, CAD proficiency, and knowledge of Microsoft Office. Texas EIT certification is preferred.

Leads architecture, delivery, reliability, modernization, and operations for enterprise finance and operations technology platforms. Manages and mentors engineering teams while remaining hands-on in architecture, design, delivery planning, and complex problem solving. Partners with Finance, Treasury, Operations, Data Engineering, Security, and Risk stakeholders to deliver automation, integrations, data infrastructure, reporting, and regulatory workflows. Oversees cloud, distributed systems, CI/CD, observability, security, incident management, disaster recovery, and engineering talent development.

Supports Army mission command training simulations by installing, configuring, integrating, troubleshooting, patching, securing, and maintaining hardware, software, networks, and simulation systems. Provides technical support during training exercises, manages system recovery and backups, verifies DISA and DoD compliance, maintains inventories, analyzes performance, and resolves Mission Command Systems issues. Requires extensive LVC-G, Linux, Windows, classified-environment, RMF, and information-assurance experience, along with a Secret clearance and CompTIA Security+ certification.

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.

Designs subsurface utility engineering projects through civil engineering calculations, utility plans, reports, plans, and specifications. Conducts job-site field visits, gathers client information, interprets complex data, and collaborates on engineering deliverables within schedule and budget constraints. Supports client meetings, business development, and relationship management while learning SUE technologies, electromagnetic equipment, Trimble equipment, and applicable design standards.

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.

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.

Own embedded firmware across humanoid robots, from custom PCB bring-up through driver development, feature implementation, testing, and validation. Read schematics, validate processors and peripherals, develop low-level communication interfaces, and debug hardware-software issues. Collaborate with electrical, mechanical, controls, and software engineers to deliver reliable integrated systems.

Design, build, test, and maintain the mission behavior engine for robots across the stack: core behavior capabilities, scalable APIs, cloud integrations, AI/NLP configuration, and backend infrastructure. Own projects from design through deployment, collaborate with cross-functional teams, ensure quality via testing and CI, and drive architectural decisions.