Forward-Deployed Broadcast​/Streaming Engineer Bay Area

Join us to be part of a company where AI and creativity intersect to create truly groundbreaking experiences

CAMB.AI is the world’s most advanced AI speech synthesis and translation company. We’re enabling large media enterprises, sports leagues like the Australian Open and Major League Soccer, movie production companies, and top creators to transform their stories, videos, and live streams into every language imaginable. With an R&D team hailing from Carnegie Mellon, Interspeech-published researchers, Apple, and Amazon, CAMB.AI has created proprietary models MARS and BOLI that enable applications like livestream AI dubbing to flagship products like Dub Studio
, which are currently being used by hundreds of enterprises across the world for hyper-realistic any-to-any dubbing.
MARS6
, our proprietary speech model, was recently announced as the first voice model on Amazon Bedrock.

CAMB.AI is seeking a Forward-Deployed Broadcast/Streaming Engineer to work closely with our clients on configuring and optimizing live-streaming workflows. In this role, you’ll work hands-on with encoders, streaming protocols (SRT, HLS, RTMP), and cloud streaming services. You’ll act as a trusted technical advisor, helping clients set up proof-of-concepts (POCs), onboard onto our platform, and troubleshoot live events in real time.

This position involves travel (both virtual and occasional on-site) and flexible hours, as live broadcasts often occur during evenings or weekends. It’s a client-facing role that requires strong collaboration, communication, and technical expertise.

• Set up and configure proof-of-concept live streams for new and existing clients.
• Guide clients through system requirements, encoder configurations, and network setups.
• Provide best practices and training to ensure effective platform use.

• Monitor live streams for major sports broadcasts to ensure stable, high-quality video delivery.
• Quickly troubleshoot and resolve streaming issues during live events.
• Adjust workflows to accommodate real-time client changes.

• Serve as a subject matter expert on streaming protocols (SRT, HLS, RTMP, MPEG-DASH).
• Advise clients on encoder selection, network optimization, and low-latency solutions.
• Collaborate with client teams to design tailored workflows.

• Work with internal engineering teams to integrate client requirements into CAMB.AI’s AI-driven platform.
• Automate streaming processes like autoscaling, failover configurations, and deployment.
• Improve internal tools for client onboarding and stream management.

• Maintain detailed documentation of client setups, best practices, and troubleshooting guides.
• Contribute to internal knowledge bases to ensure consistent support.
• Provide post-event analysis and workflow recommendations.

• Coordinate with the AI and product teams to enhance live stream features.
• Provide feedback on product improvements and potential offerings based on client needs.

• 3+ years of experience in live streaming, broadcast engineering, or a related field.
• Proven ability to deploy, test, and support streaming solutions in a client-facing capacity.
• Strong understanding of streaming protocols (SRT, HLS, RTMP) and experience with encoders.
• Ability to diagnose and resolve network and encoding issues under time pressure.
• Flexibility to work non-standard hours and weekends for live sports broadcasts.
• Excellent verbal and written communication skills for both technical and non-technical audiences.
• Must be authorized to work in the US.

• Experience with AWS, Azure, or Google Cloud media services (e.g., AWS Media Live, Media Connect).
• Knowledge of Dev Ops tools (CI/CD, Docker, Kubernetes, Terraform) for media workflows.
• Background in sports production or live event workflows.
• Proficiency in scripting languages (e.g., Python, Bash).
• Successful track record leading POCs and pilot projects.

• Cutting-Edge Tech: Work with a team leading innovation in AI and live streaming.
• Impactful Work: Be part of broadcasting high-profile sports events viewed by millions.
• Growth Opportunities: Access mentorship, professional development, and career advancement.
• Collaborative Culture: Join a supportive environment where ideas are encouraged.
• Competitive Compensation: Enjoy a competitive salary, benefits, and flexible work arrangements.

Interested candidates should send their resume, cover letter, and relevant work examples (e.g., Git Hub, demos) to careers with the subject line: “Forward-Deployed Broadcast/Streaming Engineer Application.”

Join CAMB.AI and help redefine the future of real-time AI and live sports broadcasting!

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