The Systems Engineer will monitor system health, analyze logs and alerts, investigate anomalies, take corrective actions, coordinate incident response activities, and drive continuous improvements to operational processes.
Compensation
The proposed salary range for this position is: $63,300-$129,700
Responsibilities
Monitor enterprise systems, applications, servers, databases, cloud services, and network infrastructure using approved monitoring platforms.
Review system dashboards, alerts, and performance metrics to identify potential issues before they impact operations.
Ensure system availability, reliability, and operational readiness across all supported environments.
Perform daily operational checks and health assessments of critical infrastructure.
Review and analyze system, application, security, and network logs to identify trends, anomalies, and potential issues.
Requirements
Bachelor's degree in Information Technology, Computer Science, Systems Engineering, Cybersecurity, or a related field.
Design, implement, test, and ship C++ and/or Python features, tools, and tests for autonomous software systems.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design, implement, test, and ship C++ and/or Python features, tools, and tests alongside experienced engineers.
Write embedded firmware in C/C++ for real-time software that controls our advanced UAV while in flight.
Develop tests, reporters, and tooling in Python to validate software behavior and performance.
Develop and evaluate autonomy software across areas such as mission behavior, planning, multi-agent coordination, decision-making, platform integration, or perception.
Build unit and integration tests, run and analyze simulation or bench results, and investigate failures using logs, telemetry, traces, and debugging tools.
Lead applied trajectory prediction and aircraft-response modeling for a safety-critical Run-Time Assurance product.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead development, tuning, and validation of TPA and recovery-behavior models using aircraft performance data, command-response assumptions, 3DOF/6DOF flyout concepts, wind effects, uncertainty bounds, and maneuver constraints.
Build Python-based analysis, simulation, HIL, and flight-test workflows to compare predicted versus observed aircraft behavior, identify model gaps, tune parameters, and maintain regression datasets.
Integrate and evaluate trajectory-prediction behavior through off-the-shelf or custom autopilot interfaces, including command modes, vehicle-state inputs, latency, mode transitions, control limits, and telemetry analysis.
Support hardware integration and flight-test campaigns across relevant platforms; help evolve trajectory-prediction and safety behaviors from single-aircraft use cases toward multi-agent collaborative CONOPS.
Produce algorithm handoff artifacts and contribute scoped C/C++ implementation, testing, and debugging as needed.
Requirements
Bachelor’s degree
Master’s degree
PhD
Nice to have: MATLAB
Nice to have: Simulink
Skills
Staff Engineer, State Estimation
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 28, 2026
Join Hivemind SDK State Estimation & Vision team to build deep learning capabilities that help autonomous systems understand their motion and localize in the world when GPS is unavailable or unreliable.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop and evaluate models for tasks such as feature detection and matching, visual correspondence, depth estimation, relative pose estimation, and image-to-map localization.
Combine learned visual representations with geometric methods to improve localization accuracy, robustness, and recovery under challenging conditions.
Own data preparation and supervision strategies, including dataset curation, annotation requirements, labeling tools, automated quality checks, and coverage analysis.
Select and integrate deep learning tools and build reproducible training workflows, including experiment tracking, configuration management, and dataset and model versioning.
Design evaluations that measure both model performance and downstream localization outcomes across changes in lighting, viewpoint, altitude, terrain, and sensor characteristics.
Embedded in the Planning and Controls team to build durable integration capability, reliable environments, tests, and software ready for hardware and flight testing.
Compensation
Pay within range listed + Bonus + Equity
Responsibilities
Build and maintain stable Pilot integration environments, reference configurations, reusable test fixtures, and representative end-to-end examples.
Partner with component teams to add capabilities to the shared integration environment and resolve gaps in workflows.
Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests for autonomy components.
Integrate and debug production software across planning and controls, simulation, vehicle interfaces, and other parts of the autonomy stack.
Investigate failures across system boundaries.
Requirements
Bachelor's degree in a field such as computer science or robotics