Gstreamer

Gstreamer Engineer Jobs

3 jobs found

26d ago

Software Engineer – C++ / Qt Desktop Applications

Alare Technologies, LLC Moorpark, CA

Moorpark, CA

26d ago

$110k - $155k/yr Full time C++ C++ Language Developer

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Job Description

Alare Technologies, LLC is seeking a Software Engineer to help build and maintain desktop Ground Control Station software used for UAV operations. This onsite role in Moorpark, CA focuses on creating reliable operator workflows and integrating low-latency telemetry, video, and UAV command functionality for customers and internal flight test teams.

What you’ll work on

Develop and maintain C++ / Qt / QML ground control software for UAV operations.
Design and enhance UI workflows for mission planning, vehicle status, telemetry visualization, video display, payload control, alerts, and logging.
Build and maintain MAVLink integration for telemetry, command interfaces, mission workflows, and custom protocol extensions.
Apply knowledge of low-latency video pipelines using FFmpeg, GStreamer, RTSP, and H.264/H.265 (or similar technologies).
Improve ground control software performance, reliability, and usability in flight-test and field conditions.
Collaborate with flight-test engineers and operators to reduce operator workload and improve mission success.
Support internal Python / Qt desktop automation tools, sensor validation, DAQ/test hardware, and engineering automation.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field (strongly preferred).
3+ years of strong C++ software engineering experience for desktop applications.
Experience with Qt, QML, Qt Widgets, or similar desktop UI frameworks.
Experience building Windows or cross-platform desktop applications.
Experience with networked, hardware-connected, or real-time data applications.
Familiarity with Git, CMake or similar build systems, code review, and software testing.
Experience with map-centric UIs, including GIS, offline maps, terrain data, and QGC map engines.
Familiarity with low-latency video technologies such as FFmpeg, GStreamer, RTSP, WebRTC, H.264/H.265, and KLV metadata.
Must be a U.S. Citizen or U.S. Permanent Resident (ITAR requirements).

Technologies you may use

C++, Qt, QML, Qt Widgets, MAVLink, FFmpeg, GStreamer, RTSP, H.264, H.265, Python, WebRTC, KLV metadata
Git, CMake
Windows, cross-platform desktop applications
UDP, TCP, IP-based protocols, GIS, QGC map engines

Compensation and benefits

Salary range: USD $110,000 - $155,000 per year.

401(k) 3% match
AD&D insurance
Dental, Disability, Health, Life, and Vision insurance
Employee assistance program
Paid holidays and Paid time off
Relocation assistance

Application questions

Describe a desktop application you’ve built in C++ and the specific components you worked on.
Please describe a UI you’ve developed for a complex application, including the frameworks or tools you used.
Please summarize your experience developing or troubleshooting networked systems (e.g., UDP, TCP, IP-based protocols). What components or features were you responsible for?

Location and work style

Work location: In person
Location: Moorpark, CA

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30d ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

30d ago Closed

Full time Artificial Intelligence Cloud Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Glint Tech Solutions LLC builds large-scale, production-focused computer vision for enterprise applications, and this role sits on an AI team delivering real-world systems. The position emphasizes NVIDIA DeepStream, GPU performance optimization, and distributed computing, with the goal of shipping production-grade vision pipelines and microservices across GPU-accelerated environments.

What you’ll work on

You will design, develop, and optimize computer vision solutions intended for real-world production environments. Work centers on building scalable AI inference pipelines using NVIDIA DeepStream, with a strong focus on high-throughput, low-latency performance. You will also help deploy distributed computer vision applications across large-scale infrastructure, and create microservices that support AI and computer vision platforms.

Design, develop, and optimize computer vision solutions for production use
Build scalable AI inference pipelines using NVIDIA DeepStream
Optimize GPU performance for high-throughput, low-latency workloads
Develop and deploy distributed computer vision applications across large-scale infrastructure
Design and implement microservices supporting AI and computer vision platforms
Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
Improve system performance, scalability, and reliability across GPU-accelerated environments
Troubleshoot performance bottlenecks and optimize inference pipelines

Required skills

NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing

Requirements

Strong experience with Computer Vision technologies and production deployments
Hands-on experience with NVIDIA DeepStream (Required)
Strong understanding of GPU optimization and performance tuning
Experience building microservices architecture
Experience with distributed computing systems
Strong programming skills in Python and/or C++
Experience deploying scalable AI applications in production
Excellent problem-solving and performance optimization skills

Technologies you may work with

NVIDIA DeepStream, NVIDIA CUDA, TensorRT, NVIDIA SDKs
Python, C++, OpenCV, GStreamer
Microservices architecture, GPU optimization
Kubernetes, Docker, cloud platforms (AWS, Azure, GCP)
Machine learning models, deep learning models

Preferred qualifications

Experience with NVIDIA CUDA or TensorRT
Experience with OpenCV, GStreamer, or NVIDIA SDKs
Familiarity with Kubernetes and Docker
Experience with cloud platforms (AWS, Azure, or GCP)
Experience deploying machine learning or deep learning models in production
Knowledge of real-time streaming and edge AI solutions

Location: Sunnyvale, CA (onsite)

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1mo ago

Embedded Linux Software Engineer

Wave Central New Jersey 🇺🇸 Remote

New Jersey

1mo ago Closed

$100k - $125k/yr Full time Electrical Engineering Buildroot Device Tree

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Wave Central offers a remote-friendly role in New Jersey for engineers who want to shape embedded systems at the intersection of hardware and software. As an Embedded Linux Software Engineer, you will lead the system architecture for digital hardware and embedded Linux within our RF wireless video solutions, collaborating across disciplines to move concepts from concept to production. The position comes with a competitive annual salary of USD 100,000 to 125,000, plus benefits designed to support your health, finances, and career growth.

Responsibilities

Define and steer system architecture, interfaces, and major design choices across hardware and software domains
Coordinate multiple engineering disciplines while contributing hands-on to core development
Convert high level product goals into detailed engineering specifications, tasks, and deliverables
Design and validate digital hardware, including board bring-up, debugging, and system-level performance testing
Develop embedded Linux components such as kernel drivers, device trees, system services, and application features
Collaborate with remote software teams for code reviews, CI workflows, and integration support
Guide prototyping, system validation, manufacturing transitions, and release processes
Troubleshoot complex field and production issues across hardware, software, RF, and networking layers
Provide technical support and documentation for Product Management, Sales Engineering, Operations, and QA

Requirements

Bachelor's degree is required; Master's degree is preferred in Electrical Engineering, Computer Engineering, Computer Science, or related field
Experience designing and debugging digital hardware systems
Strong embedded Linux development experience, including kernel, drivers, device trees, and system services
Proven ability to lead and collaborate within distributed engineering teams
Proficiency in C/C++ and Python
Solid networking fundamentals (TCP/IP, routing, VLANs, multicast)
Experience with oscilloscopes, logic analyzers, power measurement tools, and system-level debugging workflows
Ability to operate across hardware, software, RF, and networking domains

Technologies

Embedded Linux
Linux kernel drivers
Device trees
C
C++
Python
TCP/IP
VLANs
Multicast
Yocto
Buildroot
GStreamer
Verilog
VHDL
HEVC
H.264
MPEG-TS
SRT
RTP
FPGA development

Benefits

15 days accrued paid time off per year
9 Federal holidays
Sponsored health and welfare plan
401k plan with matching employer contribution
Employee Assistance Program

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Gstreamer Engineer Jobs

Software Engineer – C++ / Qt Desktop Applications

Data Scientist / Computer Vision Engineer

Embedded Linux Software Engineer

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