Pre-screened and vetted.
Mid-level Electrical Engineer specializing in power systems and embedded controls
Staff Software Engineer specializing in Java, cloud platforms, and distributed systems
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Mid Frontend Developer specializing in responsive web applications
Senior Salesforce Developer specializing in CRM, Service Cloud, CPQ, and AI automation
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Mid-level Software Engineer specializing in VR simulation and full-stack development
“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”
Intern Robotics & Autonomous Systems Engineer specializing in multi-robot control and perception
“Graduate robotics engineer from Boston University who led development of a perception-to-decision pipeline for a multi-robot, perception-driven navigation and coordination system. Strong in ROS/ROS2 C++ on Linux, with hands-on experience hardening real-time behavior on hardware (timing sync, QoS/queue/executor tuning) and validating via Gazebo/Webots plus real-robot testing; also uses Docker and basic CI for regression checks.”
Mid-level DevOps & Cybersecurity Software Developer specializing in IAM/CIAM automation
“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”
Intern Full-Stack Software Engineer specializing in automation and data-driven systems
“Early-career engineer with Charles Schwab internship experience building and testing production-bound internal APIs, emphasizing architectural fit, stakeholder alignment, and systematic debugging. Also has academic Python/ML experience analyzing Oura Ring biometric data and exposure to multi-agent robotics through coursework and RoboSub.”
Embedded Software Engineering Intern specializing in automotive embedded systems and DSP
“Robotics/embedded engineer who built core firmware for an autonomous underwater vehicle (AUV) used to detect wreckage in shallow coastal waters, including propulsion control, sonar/magnetometer processing, and low-frequency magnetic underwater comms. Demonstrated strong real-time systems skills by redesigning a noisy comms protocol (checksums/retries) and implementing a lightweight scheduler to stabilize heading control, plus ROS 2 sensor/control integration with tf2 and simulation/CI tooling.”
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“Built a secure, on-prem/private GPT assistant to replace manual SharePoint-style search across thousands of policies/SOPs/engineering docs, using a production RAG stack (LangChain/LangGraph, FAISS/Chroma, PyMuPDF+OCR, vLLM). Implemented layout-aware ingestion (including table-to-JSON) and a multi-agent retrieval/generation/verification workflow with strong observability and compliance guardrails, delivering ~70% reduction in search time.”
Senior Data Scientist/ML Engineer specializing in scalable ML and LLM systems
“Built and deployed an end-to-end product that brings a research-paper approach into production for large-scale time-series clustering, with attention to partitioning, latency, and scalability. Also designed a Python-based backend validation service (comparing outputs to database ground truths) and handled production reliability issues by reproducing dataset-specific crashes and hardening corner-case behavior with client-friendly errors.”
Executive CTO / Software R&D Leader specializing in mobile, GPU computing, and quantitative finance
“Serial entrepreneur since leaving corporate in 2009, working largely for equity on multiple startups. Building (1) academically rigorous, anti-overfitting quant/backtesting tools for retail investors (with potential applicability to smaller hedge funds lacking quant staff) and (2) a partner-led “social-as-a-service” platform for verticals like real estate/PropTech (including FSBO use cases) focused on first-party data capture vs. big tech.”
Senior Unity Developer specializing in VR/AR simulations and real-time 3D tools
“Unity/C# VR developer who shipped core UX infrastructure (a reusable Toast Manager) used for state-change/error/CTA notifications, designed to be easily consumed by other engineers via a one-line API. Has shipped on Meta Quest (Adobe Substance 3D Reviewer) and built cross-platform controller mappings with Unity Input Actions, emphasizing event-driven performance and profiling. Worked alongside a Photon networking lead to integrate gameplay/UI systems with multiplayer synchronization patterns (ghost players/drift correction).”
Executive Game Systems & Animation Engineering Leader specializing in console and Unreal/Unity
“Unity/C# engineer with AAA and social MMO experience who owned and shipped a marquee VR gameplay system for Meta Quest, using advanced 3D math and closed-form optimization to maintain a solid 60 FPS on constrained hardware. Also builds LLM systems from first principles and integrates native inference into C# pipelines, and has deep multiplayer architecture experience (Photon/Netcode/frame sync) including fault-tolerant WebSocket messaging for mobile connectivity dropouts. Prefers contract work; time zone flexible (EST).”
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”