Top Tech Jobs & Startup Jobs

Own end-user IT support across company offices, including onboarding, offboarding, hardware provisioning, inventory, access control, helpdesk escalation, SLA adherence, troubleshooting, security policy enforcement, and knowledge-base development. Support MacOS, Windows, and Ubuntu endpoints while administering Okta, Google Workspace, MDM, SaaS, and cloud services. Build automated workflows and self-service resources for a highly technical workforce.

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.

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.

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.