Software Engineer - Computer Vision
IPG Photonics
Listing collected from IPG Photonics's career site. NextChapter is independent of IPG Photonics.
Huntsville, AL · Posted August 10, 2026
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Where Huntsville, AL ranks
Where Huntsville, AL placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for aerospace and defense jobs555 openings · of 67
- #2Best cities for pay after cost of living in the Southeast$164k · of 33
- #2Best cities for software and engineering jobs in the Southeast701 openings · of 65
- #3Best all-round cities for mid-career professionals in the Southeast74 / 100 · of 33
- #6Best cities for aerospace and defense pay after cost of living$151k · of 19
- #12Best all-round cities for AI careers in the Southeast61 / 100 · of 33
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 762 open software engineer listings that state pay, the middle half runs $153,500 to $247,500 and the median is $195,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
IPG Defense , a stand-alone business of IPG Photonics, was incorporated in 2026 to provide direct support for defense products. Headquartered in Huntsville, AL, IPG Defense is bringing commercial scale to laser defense systems, leveraging IPG Photonics' 36 years of experience in fiber laser technology. Our mission: develop and deliver the most advanced, next-generation laser defense solutions for military and civilian use — systems that accurately and reliably detect, track, target, and neutralize threats.
IPG Photonics is the world's leading developer and manufacturer of high-performance fiber lasers and amplifiers for diverse applications in numerous markets. Founded in 1990, IPG pioneered the development and commercialization of optical fiber-based lasers — a critical technology in our high-energy laser (HEL) systems, including the CROSSBOW program.
Your skills and experience will play a key role in shaping our growing organization, building our capabilities, and delivering on our mission. Join us and build a career that will shape the future of laser defense.
POSITION SUMMARY
The Software Engineer – Computer Vision develops real-time image-processing and tracking algorithms supporting beam control, target acquisition, and stabilization in defense laser platforms. Working at the intersection of optics, sensors, and software, this role enables IPG’s directed-energy systems to perform with precision under dynamic field conditions. This opening targets a mid-level engineer; junior and senior candidates may also be considered, with level determined by experience and qualifications.
KEY RESPONSIBILITIES
Design and implement computer-vision algorithms for object detection, optical flow, and target tracking.
Develop tracking and state-estimation pipelines (e.g., Kalman filtering, track initiation and maintenance) for maneuvering targets in cluttered scenes.
Integrate vision pipelines with gimbals, sensors, and beam-steering hardware.
Optimize GPU-accelerated code on embedded platforms such as NVIDIA Jetson, including CUDA and TensorRT deployment.
Process EO/IR imagery to support laser targeting and feedback control, including camera calibration and sensor characterization.
Build data, simulation, and playback tooling to evaluate algorithm performance against recorded and synthetic scenarios.
Support modeling, field testing, and algorithm performance validation.