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Night Shift Perception Engineer Jobs (NOW HIRING)

Perception Engineer

Huntington Beach, CA · On-site

$125K - $220K/yr

As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi ... dataset shift/drift monitoring. * Physics-aware imaging: radiometric correction, NUC/FFC ...

Job Type Full-time Description Night Shift Supervisor Approximate hours: Monday - Thursday; 3:00pm ... At Sigma Engineered Solutions "your success is our mission." It's a promise we live by daily and it ...

Regular Night Shift hours shall be 8 hrs/day from 5pm to 3 am, 5 days/week. During the scheduled ... Knowledge and experience in performing inspection and resident engineering activities in active ...

$24 - $27/hr

The Shift Supervisor (Night Shift) plays a key role in supporting daily production operations. This ... Advance Polybag - NV- Inc. 4900 Engineers Way Suite 101 North Las Vegas, NV. 89081 1-702-642-1110

The Night Shift Manager will also ensure productivity/Operations goals are met on a daily/weekly ... High School diploma (GED), Preferred Requirement 4 year degree in Business, Engineering or a ...

The Night Shift Manager will also ensure productivity/Operations goals are met on a daily/weekly ... High School diploma (GED), Preferred Requirement 4 year degree in Business, Engineering or a ...

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Night Shift Perception Engineer information

See salary details

$43K

$87.7K

$125K

How much do night shift perception engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for night shift perception engineer in the United States is $87,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Night Shift Perception Engineer vs Night Shift Sensor Technician?

AspectNight Shift Perception EngineerNight Shift Sensor Technician
CredentialsBachelor's in Engineering, specialized training in perception systemsTechnical diploma or certification in sensor technology
Work EnvironmentDesign, testing, and calibration of perception systems in labs or on-siteInstallation, maintenance, and repair of sensors in industrial or automotive settings
Industry UsageAutomotive, robotics, AI developmentManufacturing, automotive, industrial automation
Common Search IntentUnderstanding perception system roles and responsibilitiesSensor installation and troubleshooting

The Night Shift Perception Engineer focuses on designing and testing perception systems, often requiring engineering degrees and specialized knowledge. In contrast, the Night Shift Sensor Technician handles installation and maintenance of sensors, typically with technical certifications. Both roles operate during night shifts in related industries like automotive and manufacturing, but their core responsibilities and skill sets differ significantly.

What cities are hiring for Night Shift Perception Engineer jobs? Cities with the most Night Shift Perception Engineer job openings:
What states have the most Night Shift Perception Engineer jobs? States with the most job openings for Night Shift Perception Engineer jobs include:
Infographic showing various Night Shift Perception Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $87,687 per year, or $42.2 per hour.

Perception Engineer

Mach Industries

Huntington Beach, CA • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. As a Perception Engineer, you will design, train, and deploy advanced vision and multi-sensor perception systems for navigation and automatic target recognition.
Responsibilities:
• Build and refine detection/segmentation/tracking architectures (CNN/Transformer) for EO/IR and multi-spectral imagery; drive foundation-scale datasets, training recipes, and robust generalization to long-tail and degraded conditions.
• Stand up training/eval pipelines (PR/ROC, mAP, latency, robustness suites); implement continuous regression testing and model-update loops from field data.
• Optimize models for real-time embedded inference (quantization/pruning, TensorRT/ONNX Runtime), profile CPU/GPU, and meet tight throughput/latency targets on Jetson-class hardware.
• Combine vision outputs with auxiliary sensing (e.g., radar/LiDAR/RF cues) for confirm/deny, association, and track management using decision-level fusion.
• Create visualization, triage, and root-cause tools for rapid insight from simulation, HITL, and flight logs; define end-to-end test plans with hardware and flight teams.
• Instrument health metrics, drift detection, and graceful degradation; write clear tests and documentation mapped to performance requirements.
• Perform simulation-based testing with high-fidelity sensor models and validate algorithms using real-world datasets.
Qualifications:
Required:
• Production C++ on Linux and Python for ML/tooling; profiling, optimization, and rigorous testing discipline. Experience diving into CUDA backends for performance optimization and debugging.
• Strong with modern detection/segmentation/tracking (e.g., Retina/FCOS/DETR/Mask2D/Video models) and training/fine-tuning in PyTorch.
• Proven experience building large, diverse datasets; labeling/QA pipelines; augmentation; experiment tracking; and reproducible training.
• Hands-on with model compression (INT8/FP16), runtime optimization, and real-time constraints.
• EO/IR imagery experience and working with real flight/test data in challenging environments.
• 7+ years of experience with either a BS/MS/PhD in CS/EE/Robotics or similar, or equivalent experience; track record shipping ML models to production.
Preferred:
• Multi-modal perception experience (EO/IR + radar/LiDAR/RF) at the decision or feature level.
• Robustness and safety: adversarial/rare-event testing, long-horizon reliability metrics, dataset shift/drift monitoring.
• Physics-aware imaging: radiometric correction, NUC/FFC, atmospheric effects modeling; synthetic data/simulation for coverage.
• MLOps and data infra: SQL/Parquet, dataset/versioning tools, CI-based validation; scalable training on multi-GPU.
Company:
Mach Industries is a defense manufacturing company that develops unmanned systems and defense infrastructure. Founded in 2023, the company is headquartered in Huntington Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.