4335 IT & Software Developer jobs in the US
L2 audio-visual engineer
$123,000 - 163,000
Kforce Technology Staffing
West 34th Street 225, New York
$123,000 - 163,000
Requirements
Must:
- Bachelors degree in Audio Engineering, Electronics, or a related field
- Certifications such as CTS (Certified Technology Specialist) or CTS-D (Certified Technology Specialist - Design)
- Expertise in AV-over-IP deployments (e.g., Dante, NDI, SDVoE)
- Proficient in compliant cable management, containment installation, and patching
- Familiar with AV software platforms and remote monitoring technologies
- Experience interfacing AV systems with building automation and IT networks
- Understanding of AV control systems like Crestron, Extron, or AMX
- Proficient in AutoCAD or similar design software for system layouts
- Knowledgeable in networking and IP-based AV solutions
- Understanding of acoustics and sound system design principles
- Project management experience leading AV initiatives
- Demonstrated experience as an AV Engineer or in a similar role
- Willingness to travel for installations and support
- Familiarity with health and safety regulations pertaining to AV setups
- Proficient in reviewing architectural, MEP, and AV schematics and drawings
- Skilled at identifying design conflicts and integration challenges
- Familiar with US building regulations and standards for AV installations
- Experienced in acoustic analysis, including STC, RT60, and ambient noise measurements
- Competent in calibrating DSPs, equalizers, speaker arrays, and microphones
- Ability to test and adjust lighting systems for optimal coverage and DALI/DMX compliance
- Skilled in evaluating AV scenarios to enhance performance and user satisfaction
- Advanced knowledge of structured cabling for network/data, video, audio, and electrical systems
Responsibilities
- Designing and implementing audio-visual systems according to client specifications
- Installing and setting up AV equipment including projectors, audio systems, and video conferencing tools
- Troubleshooting and resolving issues with AV systems
- Configuring and calibrating AV equipment to achieve optimal functionality
- Offering technical assistance and training for users on AV system operations
- Collaborating with network engineers for seamless integration of AV systems into existing infrastructure
- Managing and keeping track of the inventory for equipment and accessories
- Staying informed about the latest developments in AV technologies and industry practices
- Interpreting detailed system installation diagrams and technical documentation
- Ensuring adherence to industry standards and regulations
- Providing comprehensive project handovers, including documentation, client training, and resolution of snag issues
- Complying with BS 7671 and UK standards regarding safe and high-quality wiring practices
Description
We are a dynamic company located in New York City seeking a skilled L2 AV Engineer to join our innovative team. We offer competitive compensation, influenced by qualifications, experience, and market standards. Our employees enjoy a comprehensive benefits package that includes medical, dental, and vision insurance, along with retirement plans and paid time off for eligible salaried employees. We are committed to fostering a diverse workplace and encourage qualified applicants from all backgrounds to apply.
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How many Machine Learning Engineer jobs are in the United States?
Currently, there are 4335 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
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Which companies are hiring for Machine Learning Engineer jobs in the United States?
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The company with most openings is Kforce Technology Staffing as they are hiring for 331 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 331 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.