Jobs at Atom Computing

Develop and optimize fault-tolerance schemes for neutral-atom quantum computers, including atom-movement strategies, decoders, quantum simulation tools, and classical compute layers. Implement error correction on quantum hardware while collaborating with experimental physicists, hardware engineers, software developers, and control systems teams. The role requires translating theoretical concepts into practical demonstrations and contributing to quantum-computing architecture and strategy.

Lead a hardware engineering team developing quantum control-system hardware from PCB design through fabrication, assembly, bring-up, testing, and instrument integration. Manage PCB fabrication and contract assembly vendors, including quotes, schedules, quality, and delivery. Oversee manufacturability reviews, root-cause investigations, corrective actions, and subsystem roadmaps while partnering with quantum physicists, optical engineers, and hardware teams.

Design and develop mechanical packaging for rack-mount and pluggable instrumentation, including enclosures, chassis, heat sinks, shields, cabling, and front panels. Create CAD models and drawings, perform thermal and airflow analysis, conduct tolerance studies, and integrate electronics. Support prototyping, testing, validation, manufacturing transition, supplier coordination, and post-release sustainment across the product lifecycle.

Leads operation and upgrades of neutral atom quantum computing hardware and a portfolio of advanced research programs. Defines requirements, priorities, execution plans, metrics, communications, and risk-management strategies across scientific, engineering, and business teams. Advises the technology roadmap, balances technical resources, supports grant applications, and collaborates with external partners to deliver future quantum computing capabilities.

Leads technical marketing for neutral-atom quantum computing products. Translates complex technology into value propositions, use cases, technical content, collateral, and presentations for academic, government, and industry audiences. Tracks scientific and commercial developments, shapes competitive messaging, validates technical accuracy, represents the company at industry events, secures speaking opportunities, and develops strategic relationships with customers, partners, and quantum ecosystem leaders. Requires a PhD, deep quantum technology expertise, strong communication skills, and travel up to 35%.

Designs, builds, and operates infrastructure supporting quantum control systems and research workflows across on-premises laboratories and cloud platforms. Owns infrastructure-as-code, deployment automation, observability, security, compliance, incident response, and reliability improvements. Collaborates with software, hardware, control systems, and physics teams while evaluating infrastructure tools and balancing scalability, security, cost, and operational efficiency.

Design and maintain infrastructure supporting embedded systems for quantum computers. Responsibilities include OTA updates, device management, embedded security, monitoring and alerting, performance optimization, and CI/CD improvements. The role manages diverse on-premise and cloud infrastructure involving sensors, actuators, RF systems, lasers, and cameras, while collaborating with engineering and physics teams.

Build and operate infrastructure for quantum control systems and research workflows across on-premises labs and cloud platforms. Responsibilities include managing GPU compute, networking, storage, infrastructure-as-code, deployment automation, observability, on-call support, incident response, root-cause analysis, and reliability improvements. The role also contributes to developer tools and compute infrastructure designs while collaborating with software, hardware, control-systems, and physics teams.

Maintain on-premises Linux servers and Windows VMs supporting quantum computing operations. Design automated workflows for hybrid cloud and on-premises infrastructure, improve scalability, and build monitoring, alerting, and performance systems. Collaborate with engineering teams to optimize CI/CD pipelines and deployment efficiency. The role also involves infrastructure-as-code, virtualization, containerization, hardware performance tuning, observability, and reliable production operations.

Leads and mentors a team of approximately five software engineers and quantum software engineers. Supports research-oriented scientific software and workflows, collaborates with physicists and mathematicians to develop production-grade software for fault-tolerant quantum computing, and delivers developer experiences for quantum error correction research and development. The role combines hands-on technical contributions, team leadership, software integration, and productization of prototype systems.

Lead systems engineering for future quantum computing systems, including requirements management, system architecture, MBSE, interface control, risk management, verification and validation, integration reviews, and technical planning. Serve as a technical integrator across quantum, hardware, software, controls, optical engineering, and theory teams. Support government program reviews, customer interactions, and development of system-level design and verification documentation.

The role involves designing high-performance control systems for quantum computing, focusing on embedded software, real-time systems, and hardware orchestration. Responsibilities include building firmware for SDRs, optimizing software for quantum hardware, and collaborating across disciplines.

Lead architecture, design, prototyping, validation, and deployment of custom high-speed mixed-signal electronics for quantum-computer control systems. Design analog and RF front ends, multi-gigabit FPGA-to-converter interfaces, clocking and power systems, and Altium PCB assemblies. Conduct simulation, signal-integrity analysis, board bring-up, testing, and characterization. Collaborate with physicists and software teams, manage manufacturers and suppliers, drive design-for-manufacturing strategies, and mentor hardware engineers.

Develops scalable optical devices for neutral-atom quantum computers through theoretical modeling, prototyping, experimental validation, and hardware integration. Collaborates with physicists and engineers, analyzes experimental results, and guides optical hardware design. Requires a Ph.D. focused on experimental optics, advanced expertise in optical physics, and experience designing and characterizing complex optical setups. Postdoctoral or industry experience and Python/Git proficiency are preferred.

Design and build deterministic, low-latency control systems for quantum hardware. Develop embedded firmware, device drivers, kernel modules, and orchestration for GPUs/FPGAs. Prototype in Rust, Python, C/C++, and CUDA, and collaborate with theory, hardware, and software teams to deliver production-ready, high-throughput control pipelines.

Lead design, build, alignment, and characterization of opto-mechanical subsystems for quantum computers. Define system architecture, perform tolerance and stray-light analysis, develop alignment procedures, and drive hands-on assembly and precision alignment with cross-functional teams.

Design, analyze, and build opto-mechanical subsystems for quantum computing, including laser distribution, high-NA imaging, and optical cavities. Perform tolerance and stray-light analysis, develop alignment procedures, assemble and align optics in the lab, characterize subsystem performance, and collaborate with mechanical engineers and physicists.

The Senior Technical Program Manager oversees quantum computing system operations, manages research portfolios, collaborates with teams, and drives program execution and communication.

Own design and development of a DSP ASIC block from requirements through silicon bring-up. Perform microarchitecture, RTL development, testing, and system integration. Collaborate with quantum physicists, optics, hardware, and software teams. Contribute to and influence FPGA designs to prepare for ASIC implementation.

Lead technical direction and architecture for the orchestration software that coordinates quantum computing workloads. Rewrite research prototypes into production services, mentor engineers, deploy and monitor production systems, improve CI/CD, collaborate with hardware and quantum teams, and represent engineering externally.