Senior Software Engineer Streaming Video
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious and incredibly rewarding mission. By making fish farming more efficient and viable we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras computer vision and machine learning we are able to quantify fish weights detect the health status and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture cloud pipelines for data processing and a user-facing web application. As a result there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global collaborative team.
The role
We are looking for a Senior Backend Engineer to build and operate the systems that enable real-time video streaming AI analysis and secure remote control of industrial machinery. You will work on cloud and edge-connected systems that interact with physical devices where reliability security and low-latency communication are critical.
Required Qualifications
- 5 years of backend development experience in Python or Go
- 5 years experience with cloud infrastructure containerization and deployment (AWS Docker)
- Knowledge of video codec streaming protocol WebRTC FFmpeg gstreamer
- Strong software engineering skills; knowledge of best practices testing and deployment
Bonus Qualifications
- Experience designing and operating distributed systems
- Strong data analytics & modeling & ML skills
- Experience in managing IoT devices
Benefits
- Competitive salaries and generous equity
- Unlimited vacation policy
- Flexible working hours hybrid work policy
- Medical vision & dental insurance
- Retirement matching plan
- Potential travel to Norway
- Evolve in a fast-paced environment
- Be able to shape a business in its early days
- Get ideas feedback and suggestions from other best-in-their-field colleagues
- Mentorship opportunities well be dedicated to investing in you and supporting you as you grow
$140000 - $170000 a year
Aquabyte takes a market-based approach to salary and equity. The payvaries on a variety of factors including: job-related qualification years of experience and competence level interview performance and work location.
At Aquabyte we admire interesting people with a unique background. We strongly encourage you to apply even if you dont satisfy all the requirements and we will get back to you as soon as possible!
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
Healthy fish at lower cost. Automatic lice counting, welfare scoring, and biomass control. Information for data-driven decision making to increase revenue.
