Camera Systems Engineer at Saronic

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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

opticsCMOSSWIRMWIRLWIRinfrared imagingMIPI CSI-2USB 3.0GigE VisionCamera Linkmachine vision

Questions & Answers

Common questions about this position

What is the salary for the Camera Systems 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 are required for this Camera Systems Engineer role?

The role requires 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 camera subsystem integration, and experience with camera protocols like MIPI CSI-2, USB, GigE Vision, and Camera Link.

What is the educational requirement for this position?

A Bachelor’s or Master’s degree in Optical Engineering, Electrical Engineering, Physics, or a related field is required.

What experience makes a strong candidate for this Camera Systems Engineer job?

Candidates with 5+ years of experience developing camera hardware systems for machine vision or real-time embedded imaging, deep infrared imaging expertise, and hands-on prototype development stand out.

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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