Top Tech Jobs & Startup Jobs

Own revenue accounting infrastructure for complex, multi-year software contracts. Responsibilities include ASC 606 technical accounting, revenue recognition policies, deal desk leadership, contract review, Salesforce and NetSuite order processing, SSP determination, month-end close, forecasting, reconciliations, disclosures, SOX controls, audit readiness, and cross-functional process improvement.

Build and own an onboard live-map estimator for autonomous vehicles, fusing HD map priors with live perception in real time. Develop map change detection, trust semantics, evaluation and regression pipelines, and degraded-mode behavior. Ship modern C++ estimation software on embedded compute while defining interfaces with planner and consumer teams. Extend the system into fleet-based map freshness and correction pipelines.

Own the onboard live-map estimator for autonomous vehicles by fusing HD map priors with perception and sensor data. Develop real-time C++ estimation and map-change detection, define planner trust and degraded-mode semantics, and build evaluation, ground-truth, metrics, and regression pipelines. The role requires production state-estimation expertise, embedded performance optimization, uncertainty modeling, system interface definition, and collaboration with consumer teams. Nice-to-have experience includes live mapping, HD map semantics, factor-graph frameworks, integrity monitoring, and advanced study in estimation or SLAM.

Coordinate phone, virtual, and in-person interviews; improve recruiting processes and candidate experience; evaluate recruiting strategies; support interview training, funnel analytics, enablement content, university career fairs, and industry recruiting events. Partner with sourcers and recruiters in a fast-paced, high-growth environment.

Integrate and improve commercial robots for industrial autonomy. Design and fabricate mounts, fixtures, enclosures, retrofit kits, and end-effectors; integrate mechanical, electrical, sensing, compute, and power systems; diagnose faults; validate and document hardware; maintain lab systems; and support robot-cell safety. Candidates need practical mechatronics experience, CAD and fabrication skills, electrical troubleshooting ability, and documentation expertise. Experience with industrial robots, safety systems, teleoperation hardware, Python, ROS 2, or CAD-to-URDF workflows is beneficial.

Own secure software delivery across source, build, test, release, and deployment. Build hardened CI/CD pipelines, integrate security scanning, enforce promotion gates, automate AWS GovCloud security controls, and implement software supply chain protections. Support classified and air-gapped deployments, threat modeling, compliance evidence, and ATO activities. Partner with developers to remediate findings and with security stakeholders to map controls to NIST, DISA STIGs, RMF, and CMMC requirements.

Design and implement high-performance backend software for defense simulation products, including virtual worlds, autonomous-system testing environments, and scalable infrastructure. Build systems for multi-domain autonomous operations, partner with researchers and defense customers, and own engineering work from architecture through deployment. The role requires strong systems programming, concurrency, performance optimization, real-time simulation, and Python tooling skills, with opportunities to work on autonomy, robotics, sensor simulation, and distributed data pipelines.

Lead technical recruiting for software and machine learning engineering teams. Develop hiring strategies, partner with engineering leadership, manage structured interviews, improve recruiting systems, analyze funnel metrics, mentor recruiters, and deliver strong candidate experiences. The role requires recruiting specialized technical talent, including autonomy, robotics, defense, embedded systems, or Physical AI professionals, in a fast-growing, in-office environment.

Build and manage technical talent pipelines across autonomy, AI/ML, embedded systems, and software engineering. Develop research-driven sourcing and talent-mapping strategies, partner with hiring managers to define candidate profiles, collaborate with recruiters to support candidate experience, and use market research and data to improve sourcing efforts.

Build and optimize edge and cloud data pipelines for perception ML models. Scale data engine for high-fidelity labels, reduce annotation costs, integrate foundation models for automated labeling and QA, leverage software/hardware-in-the-loop testing, and support DoD field use cases and model deployment lifecycle.