Role Description Forward Deployed Engineers at Figma sit at the intersection of engineering, product, and our most strategic customers. In this role, you’ll work hands-on with customers adopting emerging Figma developer workflows, starting with Make Local, to understand their technical environments, unblock implementation, and translate real-world deployment patterns into product and engineering insights. You’ll partner closely with Customer Experience, Solutions Consulting, Sales, Product, and Engineering to help customers get to value faster while shaping how Figma builds and scales a new Forward Deployed Engineering motion. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Partner directly with strategic customers to understand their technical goals, workflows, codebase environments, and implementation constraints - Lead technical discovery and readiness assessments for customer deployments, including repo/environment setup, permissions, configuration needs, and potential adoption blockers - Provide hands-on implementation support for Make Local and related developer-facing workflows, including setup guidance, debugging, escalation triage, and recommendations on technical implementation patterns - Work closely with Customer Enablement Managers, Solutions Consultants, Sales, and account teams to align on customer goals, stakeholders, success criteria, timelines, and account context - Capture and synthesize product gaps, bugs, workflow patterns, technical blockers, and customer feedback for Product and Engineering teams - Create reusable deployment assets such as technical troubleshooting guides, readiness checklists, account intake templates, implementation playbooks, and customer-facing enablement materials - Help define how Figma should measure success for forward deployed engineering engagements, including time to first workflow, setup success, adoption, active usage, customer feedback, and support effort - Contribute to the operating model for Figma’s Forward Deployed Engineering function, helping determine where FDE support is most valuable, how engagements should be scoped, and how the function should scale Qualifications - Experience in a customer-facing technical role such as Software Engineer, Solutions Engineer, Technical Consultant, Sales Engineer, Developer Advocate, or similar - Strong understanding of modern software development practices, including source control, local development environments, deployment workflows, debugging, and build tooling - Proven ability to partner with enterprise customers to solve complex technical challenges and drive successful product implementations - Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences across cross-functional teams - Demonstrated ability to thrive in ambiguous environments by creating scalable processes, collaborating across teams, and leveraging emerging technologies such as AI and modern developer workflows Requirements - Strong familiarity with developer, design, collaboration, or AI products, particularly those that connect design and engineering workflows - Proven success partnering with enterprise customers on implementation, onboarding, migrations, technical enablement, and product adoption - Solid understanding of modern engineering practices, including frontend development, design systems, component libraries, CI/CD pipelines, monorepos, and Dev Infrastructure - Demonstrated ability to build, scale, or launch customer-facing technical functions, pilot programs, services, or engineering practices - Ability to translate customer insights and deployment trends into product strategy, documentation, roadmap recommendations, and engineering priorities Benefits - Equity to employees - Competitive package of additional benefits, including health, dental & vision - Retirement with company contribution - Parental leave & reproductive or family planning support - Mental health & wellness benefits - Generous PTO - Company recharge days - Learning & development stipend - Work from home stipend - Cell phone reimbursement - Sales incentive pay for most sales roles - Annual bonus plan for eligible non-sales roles

Role Description We are seeking an experienced Lead Full-Stack Engineer to provide technical leadership for a small team building a knowledge graph and ontology related to quantum computing and design, along with an interactive web application that enables users to explore and engage with the underlying information. This is a hands-on leadership role that combines software architecture and development with technical direction, mentorship, and oversight of the team’s day-to-day engineering work. - Lead the design and development of intuitive user interfaces. - Translate complex data structures into accessible and relevant user experiences. - Guide the integration of AI-enabled application features. - Establish technical standards and make key architectural decisions. - Review code and support other engineers. - Ensure the team delivers secure, scalable, and maintainable software. - Encouraged to experiment boldly with emerging technologies. - Evaluate new approaches and apply them thoughtfully. - Regular exercise of independent judgment and discretion in leading software systems design, architecture, and development. Qualifications - At least 2 years of experience serving in a technical lead, engineering lead, or comparable software leadership role. - Demonstrated experience providing technical direction, mentoring engineers, conducting code reviews, and supporting the delivery of complex software projects. - Strong full-stack engineering fundamentals, with particular depth in backend architecture, data modeling, APIs, and scalable system design. - Demonstrated experience designing, building, and maintaining production-quality, user-facing web applications. - Experience making architectural decisions and evaluating technical tradeoffs across frontend, backend, infrastructure, and application integrations. - Familiarity with AI-enabled application workflows, tools, or integrations. - Strong understanding of UI/UX principles and product usability. - Ability to work autonomously, manage competing priorities, and deliver results with minimal oversight. - Strong communication and collaboration skills. - An efficiency-focused mindset and willingness to adopt new tools. - Ability and enthusiasm to learn unfamiliar technical domains as needed. Requirements - React — building responsive, high-quality user interfaces. - LLM API Integration. - Data Pipeline Design. - AI-assisted development (e.g., Claude Code). - Supabase / PostgreSQL. - TypeScript / JavaScript. - API Design (REST). - Cypher (Neo4j). - Vector databases (e.g. Pinecone, Weaviate, Milvus, FAISS). - Python. - LaTeX. - Prompt Engineering. Preferred Experience - Experience with data-intensive, graph-based, or visualization-heavy applications. - Evidence of shipped products, professional work, or substantial personal projects. - Strong communication skills and comfort articulating technical and design decisions.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking an Aerostructures Design Engineer I to support the development of structural components for our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will design and develop high-performance structural components from concept through production release. You’ll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace mechanical engineer who thrives in hands-on design environments and is eager to take increasing ownership of flight-critical designs. This role is ideal for engineers with 0–2 years of experience looking to develop expertise in structural design, CAD modeling, product development, and design validation in a fast-paced, high-tech aerospace environment. What you'll do: - Design and develop structural components and assemblies for Shield AI’s next-generation UAV platform, supporting both primary and secondary aircraft structures. - Execute all stages of the design lifecycle including conceptual development, initial CAD modeling, detailed design, and drawing release. - Perform hand calculations for stress or strain with limited basic FEA analysis, with guidance from senior engineers as needed. - Collaborate closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to support system integration across airframe interfaces. - Support structural validation efforts including coupon testing, subcomponent testing, and system-level verification. - Generate high-quality design documentation, drawings, interface definitions, and analysis reports in compliance with aerospace standards. - Partner with manufacturing and flight test teams to resolve build issues and support hardware through test and deployment. - Participate in design reviews and technical discussions, presenting work clearly and incorporating feedback effectively. - Continuously improve personal technical depth in structural layout, joints, fasteners, tolerancing, and structural optimization. Required qualifications: - Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline. - 0-2 years of experience in aircraft structural design or closely related aerospace structures. - Experience designing and releasing structural components in development or production environments. - Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths. - Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar). - Understanding of GD&T, tolerance stackups, and DFMA principles. - Strong written and verbal technical communication skills. - Demonstrated ability to operate in fast-paced, high-ownership engineering environments - Ability to get a S//SAR level security clearance desired. Preferred qualifications: - M.S. degree in Aerospace or Mechanical Engineering. - Experience supporting UAV, DoD, or aerospace vehicle programs. - Familiarity with aerospace standards (MIL-STD, ASME Y14.5, FAA). - Experience supporting hardware through test, failure analysis, and design iteration. - Exposure to composite design and manufacturing methods. - Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis #LI-MS1 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Role Description We are seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including: - Cluster sizing - Configuration - Security - Automation - Observability - Developer enablement The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of experience operating Apache Kafka or Confluent Platform in production. - Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups). - Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC). - Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB. - Experience with HA/DR strategies for Kafka. - Strong scripting skills in Python, Bash, or Go. - Hands-on experience with infrastructure-as-code (Terraform, Ansible). - Working knowledge of observability tooling for Kafka. - Excellent troubleshooting, communication, and documentation skills. Requirements - Architect, deploy, and operate large-scale Apache Kafka or Confluent Platform clusters across on-prem and cloud environments. - Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity. - Implement strong security on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs. - Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production. - Build and operate Kafka Connect pipelines integrating sources and sinks across enterprise systems. - Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region active-active patterns. - Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns. - Implement comprehensive observability using Prometheus, Grafana, Datadog, or Confluent Control Center. - Drive Kafka cost and capacity optimization through right-sizing and storage tiering. - Onboard application teams to Kafka with clear patterns, templates, and best practices. - Lead incident response and post-incident reviews for streaming workloads. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing. - Maintain comprehensive, current technical documentation. - Continuously evaluate emerging streaming technologies (Pulsar, Redpanda, AWS MSK, Azure Event Hubs). Benefits - Competitive base salary commensurate with experience, plus benefits. - 100% remote, full-time, direct W2 position. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899.