Velo3D

Backend Engineer

• Productionize ML algorithms: Take validated Python prototypes from MLEs and implement equivalent, performant C++ modules suitable for integration into production printer software.
• Integration and release support: Work with print software and embedded teams to integrate new algorithms, resolve build and runtime issues, and support release validation on hardware or representative test environments.
• Testing and quality assurance: Design, implement, and execute test plans (unit, integration, and regression) to verify numerical correctness, edge cases, and parity between Python reference implementations and C++ production code.
• Build ML infrastructure and tooling: Develop and maintain Python-based utilities and services that support MLE work—e.g., data download and cataloging, batch preprocessing, dataset versioning, pipeline orchestration, and operational scripts.
• Improve data management workflows: Help structure how build sensor data is stored, indexed, retrieved (including from archival storage), and made available for training and evaluation.
• Reduce engineering toil: Identify repetitive tasks in the ML workflow (data movement, labeling prep, evaluation runs) and automate them with well-documented, reliable tooling.
• Partner with MLEs on specifications: Clarify interfaces, performance requirements, and acceptance criteria so prototypes can be handed off cleanly and integrated without ambiguity.

Software Engineer, Python, C++, ML Platform & Production Integration

Machine Learning Engineer

• Develop ML models using in-process sensor data to identify anomalies and quality issues during printing.
• Build and iterate on training and evaluation workflows; document experiments and results for reproducibility.
• Own ML experimentation end to end: Design datasets, preprocessing pipelines, and training workflows; iterate on model architectures and metrics; document experiments and results for reproducibility.
• Help define data collection and management: Partner with process and software teams to improve how build data is ingested, cataloged, versioned, and made available for training and evaluation.
• Deploy models into production: Work with print software and embedded teams to integrate validated models into production code running on printer hardware, including performance and reliability considerations.
• Collaborate with supporting software engineers: Hand off validated Python prototypes for production hardening, provide clear specifications and acceptance criteria, and support integration and regression testing.

Analyst

• managing, supporting, maintaining, troubleshooting, and improving enterprise business applications used across engineering, manufacturing, operations, finance, sales, and service teams
• acting as a key liaison between business users, IT, application vendors, and internal technical teams
• ensuring critical enterprise systems are reliable, secure, integrated, and aligned with business processes

Senior Enterprise Applications Analyst

Operations

• Provide strategic leadership for manufacturing operations, including additive manufacturing production, post-processing, quality, and facilities, to ensure operational readiness, scalability, and execution excellence.
• Shape and execute an operations strategy that expands capacity, strengthens process discipline, and improves cost efficiency while maintaining high standards of quality and reliability.
• Establish and institutionalize operating standards, production controls, and management systems appropriate for customer-critical and regulated applications.
• Lead enterprise-level continuous improvement initiatives to enhance throughput, yield, cycle time, and overall operational performance.
• Provide leadership over additive manufacturing processes, materials, and workflows, ensuring strong alignment across R&D, engineering, and production.
• Partner cross-functionally to transition new technologies and products from development into stable, scalable production with clear operational ownership.
• Set the strategy for equipment reliability, preventive maintenance, and capital planning to support operational continuity and long-term growth.
• Advance the adoption of automation, digital manufacturing capabilities, and data-driven monitoring to strengthen visibility, control, and decision-making.
• Lead supply chain strategy across sourcing, materials planning, inventory management, and supplier qualification to ensure resilience, continuity, and operational agility.
• Mitigate supply chain risk through supplier diversification, strategic negotiations, and inventory optimization aligned to business priorities.
• Ensure dependable availability of critical materials, consumables, and components while balancing cost, quality, and service performance.
• Provide executive oversight of quality systems, certifications, and compliance requirements relevant to additive manufacturing and target end markets.
• Ensure robust product quality, traceability, and documentation practices that support customer confidence, audit readiness, and regulatory compliance.
• Partner with finance and legal stakeholders to align operational controls with governance expectations, risk management priorities, and public company standards.
• Own operational performance against key business metrics, including cost of goods sold, gross margin, on-time delivery, scrap, capacity utilization, and service levels.
• Partner with finance leadership on budgeting, capital allocation, and cost transformation initiatives that improve operating leverage and business performance.
• Guide forecasting and production planning processes to align operational execution with revenue objectives, demand signals, and growth priorities.
• Build and lead a high-performing operations organization across manufacturing, quality, supply chain, and facilities, with a strong focus on capability building and accountability.
• Establish clear operating rhythms, performance expectations, and succession strategies to strengthen organizational effectiveness and leadership depth.
• Champion a culture of safety, continuous improvement, collaboration, and disciplined execution.
• Partner closely with commercial, engineering, and product leaders to align operations with customer commitments, product roadmaps, and strategic growth plans.
• Contribute to Board and investor narratives by clearly communicating operational performance, scalability, execution priorities, and business risks.
• Participate in strategic planning and earnings preparation activities related to operations, capacity expansion, and execution readiness.

Senior Director of Operations

Director

• Oversee all manufacturing operations, including additive production, post-processing, materials management, quality control, maintenance, and continuous improvement.
• Build and optimize scalable processes, drive operational excellence, ensure regulatory and audit readiness, and lead the transition from prototype to full production.
• Develop and execute the manufacturing strategy aligned with company goals, customer requirements, and public-company operational expectations.
• Lead day-to-day operations across additive printing, post-processing, machining, finishing, and assembly.
• Drive cross-functional collaboration with Engineering, Quality, Supply Chain, EHS, and Program Management.
• Manage and mentor a growing team of supervisors, technicians, operators, and support staff.

Director of Manufacturing

• Lead the hardware engineering team (mechanical, electrical, systems, reliability, test).
• Develop the long-term hardware roadmap in collaboration with Product and executive leadership.
• Guide architecture decisions for next-generation AM platforms and subsystems.
• Instill engineering rigor through documentation, design reviews, version control, and validation practices.
• Oversee the design and development of electromechanical machine systems, including:
• Print engines, gantry/motion systems
• Thermal systems (heaters, sensors, environmental controls)
• Electronics, PCBs, cables/harnesses
• Power distribution and safety systems
• Optics modules (if applicable for laser-based processes)
• Mechanical/structural components
• Ensure hardware designs meet performance, safety, manufacturability, and reliability targets.
• Drive hardware from prototype through validation, regulatory compliance, and mass production.
• Collaborate closely with Manufacturing to ensure designs are scalable, cost-efficient, and well-documented (DfM, DfA, DfR).
• Own ECO processes, product lifecycle management, and release to production.
• Implement robust reliability testing, HALT/HASS, environmental/thermal testing, and long-duration validation.
• Ensure hardware meets relevant safety and compliance standards (UL, CE, FCC, etc.).
• Build a data-driven reliability engineering function to improve uptime and field performance.
• Collaborate with Field Service for field issue resolution and design improvements.
• Work closely with Software, Materials Science, Firmware, and Manufacturing teams to ensure seamless integration across the full AM ecosystem.
• Partner with Supply Chain on component selection, vendor qualification, and cost optimization.
• Collaborate with Program Management for schedule, deliverables, and milestones.

Software Engineer, Python, C++, ML Platform & Production Integration

Machine Learning Engineer

Senior Enterprise Applications Analyst

Senior Director of Operations

Director of Manufacturing

Director of Hardware