What are the responsibilities and job description for the Software Engineer - Video position at Jobot?
Job Description
Innovative SaaS company offering: Salary Equity, Company Paid Health Insurance, Generous PTO Plan
This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $130,000 - $150,000 per year
A bit about us:
We are an innovative SaaS company that provides solutions to the Sports and Broadcast industries. We are seeking a Software Engineer (Video) to join our growing team.
This is an onsite opportunity that can work out of our offices in Wexford, PA or Los Angeles, CA
Description:
The Software Engineer-Video is responsible for developing, optimizing, and supporting our real-time video pipeline, which is at the heart of our mission-critical services to our broadcast, league, and streaming partners. The ideal candidate will have experience in GPU-accelerated real-time video pipeline applications and video encoding, decoding, and transport to the cloud. Knowledge of state-of-the-art AI/ML computer vision techniques and the ability to work collaboratively in an agile team to achieve robust designs is essential. Additionally, knowledge of SMPTE broadcast standards, testing, and implementation via third-party OEM devices is essential.
Why join us?
Job Details
Pivotal Experience, Expertise & Personal Characteristics:
Bonus Experience:
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $130,000 - $150,000 per year
A bit about us:
We are an innovative SaaS company that provides solutions to the Sports and Broadcast industries. We are seeking a Software Engineer (Video) to join our growing team.
This is an onsite opportunity that can work out of our offices in Wexford, PA or Los Angeles, CA
Description:
The Software Engineer-Video is responsible for developing, optimizing, and supporting our real-time video pipeline, which is at the heart of our mission-critical services to our broadcast, league, and streaming partners. The ideal candidate will have experience in GPU-accelerated real-time video pipeline applications and video encoding, decoding, and transport to the cloud. Knowledge of state-of-the-art AI/ML computer vision techniques and the ability to work collaboratively in an agile team to achieve robust designs is essential. Additionally, knowledge of SMPTE broadcast standards, testing, and implementation via third-party OEM devices is essential.
Why join us?
- Great opportunities for growth with our company
- Salary Equity
- Company Paid Health Insurance
- 401K
- Generous PTO plan
Job Details
Pivotal Experience, Expertise & Personal Characteristics:
- BS degree or higher in Computer Science, Electrical / Computer Engineering, Software Engineering or the equivalent.
- Experience with both Windows 10 64-bit and Linux (Ubuntu) dev environments
- Experience designing, deploying and maintaining cloud-based workflows (e.g. SaaS)
- Significant experience in C/C as well as C#
- Experience with Real-time programming, parallel programming architectures
- Knowledge of NVIDIA GPU ecosystem, including OpenGL, OpenCV, CUDA
- Knowledge of SMPTE broadcast standards and technologies, such as SDI, LTC, HDR, 2110
- Knowledge of AWS technologies, including FSx, MediaConnect, DynamoDB, etc.
- Video/Image processing knowledge, demosaicing, denoising, color space conversion, image enhancement
- Expertise in mission-critical, high availability software
- Knowledge of streaming frameworks such as GStreamer and/or FFmpeg
- Knowledge of video codecs, such as H.264, HEVC, lossless compression as well as an understanding of streaming technologies and transports (e.g., MPEG TS, RTMP, SRT, webRTC)
- Knowledge of best practices for code management, version control, and deployment, such as Atlassian Bitbucket, or Github
- Knowledge of AI/ML methods for video enhancement
Bonus Experience:
- Knowledge of machine vision standards and transports such as CXP, 10GigE, GeniCam
- Familiarity with ZMQ or other message bus (e.g., Kafka) software
- General Knowledge of camera technology (e.g., f/#, exposure, black level, ADC, CMOS, CFA)
- Knowledge of broadcast tools such as vector scopes, RCP/CCU, and color science
- Experience with OEM SDI output cards and APIs from AJA, Blackmagic Design, Deltacast, or the like
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Salary : $130,000 - $150,000
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