Senior Systems Engineer
MrBeastSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries
Requirements
- Bachelor’s or Master’s degree in Optical Engineering, Electrical Engineering, Physics, or a related field
- 5+ years of experience developing camera hardware systems for machine vision or real-time embedded imaging
- Expertise in imaging sensor technologies and optical principles across visible and IR bands
- Deep understanding of infrared imaging systems, including physical componentry, sensor operation, and radiometric performance
- Experience with image calibration and environmental test procedures
- Experience with optical alignment, integration, and test (AI&T) with EO and IR systems
- Proficiency in implementing and debugging common camera software communication protocols (e.g., MIPI CSI-2, USB, GigE Vision, Camera Link)
- Strong software skills in Rust and C/C++ for camera control, data acquisition, and system integration
- Familiarity with standard computer vision workflows and tools (e.g., OpenCV)
- Strong proficiency in Linux, including experience with kernel drivers, device trees, and camera subsystem integration
- Familiarity with embedded systems, ISP tuning, FPGA-based pipelines, or real-time processing
- Operational experience with collimators, parabolic mirrors, black bodies, and thermal chambers (preferred)
- Opto-mechanical design experience (preferred)
- Proficiency with optical design and modeling tools (e.g., Zemax, Code V, FRED) (preferred)
- Experience working with ruggedized or mobile optical systems (e.g., UAVs, vehicles, field-deployable platforms) (preferred)
- Experience in color science, image compression, or multispectral imaging workflows (preferred)
Responsibilities
- Camera System Design: Define imaging architectures, including sensor, lens, filter, and optical path selection tailored to mission requirements
- Sensor and Lens Evaluation: Select sensors (CMOS, SWIR, MWIR, LWIR, etc.) and lenses based on imaging and environmental performance needs
- Infrared Imaging Expertise: Apply knowledge of infrared imaging (SWIR, MWIR, LWIR) and associated optical components, coatings, test equipment, and calibration techniques
- AI + Vision Integration: Interface with computer vision and AI teams to ensure imaging hardware enables accurate perception and inference
- Prototype Development: Assemble and characterize prototype imaging systems, and define test methods for image quality metrics (MTF, SNR, color accuracy, etc.)
- System Interfaces: Implement and troubleshoot camera data pipelines over MIPI CSI-2, USB 3.0, GigE Vision, Ethernet/IP, and Camera Link
- Vendor Engagement: Source and evaluate components from optical and sensor vendors; manage supplier interactions for system integration
- Cross-Functional Collaboration: Partner with software, firmware, and mechanical teams to validate systems across performance and environmental conditions
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the Camera Optomechanical Engineer position?
This information is not specified in the job description.
Is this a remote position, or is there a required location?
This information is not specified in the job description.
What key skills and experience are required for this role?
The role requires 5+ years of experience developing camera hardware systems for machine vision or real-time embedded imaging, expertise in imaging sensor technologies and optical principles across visible and IR bands, proficiency in Rust and C/C++ for camera control, strong Linux skills including kernel drivers, and experience with camera protocols like MIPI CSI-2 and GigE Vision.
What is the company culture or team environment like?
This information is not specified in the job description.
What qualifications make a strong candidate for this position?
A Bachelor’s or Master’s degree in Optical Engineering, Electrical Engineering, Physics, or related field, plus 5+ years of camera hardware experience, deep IR imaging expertise, software proficiency in Rust/C++ and Linux, and familiarity with optical design tools like Zemax position candidates strongly.
Saronic
Develops advanced autonomous surface vessels
About Saronic
Saronic Technologies develops Autonomous Surface Vessels (ASVs) that enhance the capabilities of naval and maritime forces. These vessels utilize adaptive path planning, passive sensors, and advanced algorithms, along with edge computing, to effectively identify and track targets. They are designed to operate in challenging environments, using resilient multichannel communications to support both manned and unmanned operations. Saronic Technologies differentiates itself by focusing on military and defense clients, aiming to improve situational awareness, extend operational reach, and enhance survivability during maritime missions. The company's goal is to provide solutions that integrate seamlessly with existing operational strategies or support new maritime tactics, generating revenue through the sale of ASVs and related customization services.
Austin, TexasHeadquarters
2022Year Founded
$223.7MTotal Funding
SERIES_BCompany Stage
DefenseIndustries
201-500Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Sick Leave
Parental Leave
401(k) Retirement Plan
Stock Options
Life Insurance
Disability Insurance
Risks
Increased competition from other defense tech startups threatens Saronic's market share.
Rapid AI advancements may require costly updates to maintain competitive ASV systems.
Geopolitical tensions could hinder international collaborations and foreign government sales.
Differentiation
Saronic integrates AI, hardware, and software into scalable, fully integrated maritime platforms.
Their ASVs feature adaptive path planning and advanced algorithms for effective target tracking.
Saronic's multichannel communications enable seamless manned-unmanned teaming in contested environments.
Upsides
Raised $175M in Series B funding, reaching a $1 billion valuation in 2024.
Growing demand for autonomous vessels in defense and commercial sectors boosts market potential.
AI integration in ASVs enhances decision-making and operational efficiency for maritime missions.
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