Jobs at Atomic Machines

The Director of Marketing will define and execute Atomic Machines’ marketing vision, strengthening brand identity, messaging, digital presence, thought leadership, events, PR, and media relations. The role manages budgets and external agencies while personally developing content, directing creative work, and partnering with technical, product, and commercial leaders. Success includes greater brand consistency, industry recognition, audience engagement, and credible communication of the company’s Physical AI and advanced manufacturing technology.

Leads enterprise network and cybersecurity architecture across corporate and manufacturing environments. Manages network and security engineers, vendors, infrastructure operations, cloud networking, segmentation, firewalls, monitoring, incident response, vulnerability remediation, compliance controls, and technology roadmaps. Designs resilient AWS and hybrid connectivity, oversees routing, switching, wireless, OT/IT security, and presents risk and strategy to stakeholders.

Lead and execute enterprise detection and response across cloud, OT/ICS, endpoint, identity, and network. Manage security tools and vendors, mature SIEM/cloud logging, embed security into cloud/IaC, run incident response, perform OT assessments, and maintain policies and compliance (NIST/SOC2/ISO27001).

Own the build system, CI/CD, artifact storage, caching, and fleet deployment infrastructure for a multi-architecture monorepo and distributed robotic systems. Improve reproducibility, deployment safety, rollback, observability, security, and automated remediation. Diagnose production incidents, reduce engineering toil, define reliability standards, and drive infrastructure adoption across teams. The role requires onsite work five days per week and spans approximately 80 nodes today, scaling to thousands of devices.

Own the month-end close, journal entries, reconciliations, financial reporting, and audit-ready general ledger. Build automated data pipelines connecting NetSuite, manufacturing systems, and spend-management tools, while developing live dashboards and AI-assisted workflows with appropriate controls and review gates. Partner with the Controller on ERP optimization, system integration, product cost models, tax, and audit preparation.

Build Go and Python software infrastructure for computer-aided manufacturing, including geometric representations, spatial algorithms, process planning, and machine-software integration. Collaborate with process experts to convert physical knowledge into explicit models, constraints, interfaces, and testable behavior. Ensure geometric correctness, reproducibility, and validation through testing and physical measurements while using AI throughout development.

Leads electrical engineering strategy and organization development for robotics and autonomous manufacturing systems. Oversees electrical architecture, electronics development, integration, interconnect diagrams, harness design, system bring-up, verification, safety, reliability, and manufacturability. Establishes engineering standards, leads technical reviews, manages cross-functional roadmaps, and hires and develops engineers and leaders.

Lead a team of manufacturing engineers while personally driving critical equipment projects from architecture and CAD through build, integration, qualification, and production release. Own equipment deployment, production readiness, root-cause correction, documentation, change control, staffing, capital budgets, supplier execution, and throughput, yield, cost, and uptime improvements. Develop engineers through hands-on technical leadership and establish manufacturing standards as the company scales from pilot to high-volume production.

Support the CEO and Head of Strategic Growth by managing operating rhythms, calendars, travel, priorities, and sensitive communications. Own cross-company projects, leadership follow-ups, executive briefings, investor and customer preparation, and concise decision memos. The role requires strong judgment, writing, accuracy, discretion, initiative, recommendation-making, and effective use of AI tools, with occasional travel between Santa Clara and Emeryville.

Supports two senior executives across Go-to-Market and Engineering by managing calendars, travel, meetings, communications, expenses, events, documents, special projects, and cross-functional coordination. The role requires exceptional organization, discretion, judgment, communication, and the ability to manage competing priorities in a fast-paced startup. The Executive Assistant works onsite in Emeryville five days per week and represents executives with internal and external stakeholders.

Drive adoption of Atomic Machines’ switching technology among power distribution, circuit protection, switchgear, and data-center infrastructure OEMs. Build strategic customer relationships, identify technical applications, lead discovery and design-in activities, manage evaluations and qualification programs, and advance opportunities through production. The role owns commercial discussions, pipeline and program management, ecosystem development, and industry engagement while partnering with engineering and product teams. Approximately 30–50% travel is required.

Manufacturing Engineer responsible for sustaining and improving manufacturing equipment and processes from development through production ramp. Duties include preventive maintenance, process optimization, BOM translation, root-cause analysis, documentation, equipment validation, contract manufacturer support, DFM/DFX feedback, and continuous improvement. The role partners with multidisciplinary teams, owns projects, supports production readiness, and travels between Emeryville and Santa Clara as needed.

Supports the CEO and Head of Strategic Growth by managing schedules, priorities, communications, travel, briefings, expenses, events, and sensitive information. Acts as a liaison with employees, investors, customers, partners, and candidates; drives cross-company projects and follow-up. The role requires strong judgment, discretion, resourcefulness, polish, warmth, and comfort operating in a fast-moving startup environment across Santa Clara and Emeryville offices.

Leads the design, integration, deployment, and lifecycle management of automated manufacturing equipment and production systems. Develops scalable processes, improves throughput and yield, manages equipment reliability and maintenance, oversees contract manufacturer builds, and drives root-cause corrective actions. Establishes manufacturing standards, supports equipment commissioning, manages projects across sites, and mentors engineers while ensuring quality, safety, cost, and production readiness.

Own end-to-end recruiting for hard-to-fill software and hardware technical roles. Source and engage passive candidates, build pipelines, deliver an exceptional candidate experience, advise hiring managers, calibrate candidate requirements, drive referrals, and adjust search strategies based on market conditions. The role requires strong sourcing expertise, AI tool fluency, transparent candidate communication, and onsite work three days per week in Emeryville or Santa Clara.

Design and implement robotic manufacturing applications, including automation sequences, state machines, hardware APIs, failure recovery, calibration, diagnostics, and simulation tools. Optimize machine cycle times, bring up electromechanical hardware, debug across software and hardware boundaries, improve observability and reliability, and participate in an on-call rotation. Daily development is primarily in Python, with collaboration across mechanical, electrical, and process engineering teams.

Design and build distributed manufacturing software coordinating state, timing, and behavior across hardware. Implement APIs, real-time controllers, instrumentation for ML/AI, and reliability/observability. Drive architecture decisions, improve CI/CD and testing practices, debug across software/firmware/hardware, and collaborate with cross-functional engineering teams to converge on a production-ready platform.

Own end-to-end electrical test development for novel micromachine devices, including test strategy, precision measurement, instrumentation, PCB design, firmware, mechanical fixtures, and production integration. Develop error budgets, validate data quality, document systems, and improve reliability and throughput while balancing accuracy, cost, scalability, and speed. Collaborate with device, manufacturing, and product teams to translate ambiguous requirements into measurable specifications and robust test systems.

Build and operate production MLOps infrastructure spanning experimentation, model training, deployment, serving, monitoring, retraining, and rollback. Develop ML data and feature pipelines using multimodal manufacturing data, maintain lakehouse and feature-store capabilities, and establish observability and human-in-the-loop feedback systems. Collaborate with data, AI, software, process, materials, and simulation engineers to deliver reliable, scalable ML platforms and model feedback loops.

Architect and implement software infrastructure that coordinates precision manufacturing equipment, robotics, embedded controllers, and cloud services. Define interfaces, develop APIs and distributed services, build automated testing, simulation, and CI/CD pipelines, perform system integration and validation, drive performance and reliability improvements, and lead cross-boundary debugging, FMEA, and root-cause analysis.