Join Coram AI as a Core Engineer to build edge applications and optimize machine learning models in a fast-paced environment.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We integrate machine learning models into our edge-computing stack to enhance video security.
Requirements
- Experience
- 3–8 years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Core Engineer focuses on developing edge applications that process vision data and enhance communication layers for resource-constrained devices. Proficiency in C++ and a solid understanding of Linux are essential, along with experience in machine learning and edge computing. This position is ideal for candidates with 3-8 years of experience who thrive in dynamic environments and possess strong problem-solving skills. Coram AI's innovative team is dedicated to transforming video security through advanced AI technologies.
Joblaze insights
Quick facts
- Is the Member of Technical Staff, Real Time Systems role remote?
- No — this is an on-site role in Bangalore.
- How much experience is required?
- 3–8 years of relevant experience for this Member of Technical Staff, Real Time Systems role.
- Where is the role based?
- Coram AI is hiring for this position in Bangalore.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Edge Computing, Grafana, Gstreamer, IoT, Java.
- What seniority level is this role?
- Coram AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Real Time Systems role at Coram AI.
From the original posting
The role:
Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.
Responsibilities:
Build edge applications processing vision data and communication layers for the compute-constrained edge devices
Deploy machine learning models to production, optimizing the platform runtime for maximum performance
Operating largely C++ code with parts of the pipeline running on GPU
Build observability and telemetry
Qualifications:
A Bachelor's or Master's degree in Computer Science
3-8 years of experience in data structures, algorithms, and object-oriented
Strong programming in C++ and strong understanding of Linux
Knowledge of any other development language, including Java, Python, and Shell scripts
Edge/IoT computing experience (we have a fleet of deployed edge computers) is a plus
Infrastructure management experience (we use Salt) is a plus
Monitoring experience (we use Grafana) is a plus
Video processing & streaming experience (we use Gstreamer) is a plus
Experience interfacing ML models (we use PyTorch) is a plus
Resilient in challenging and fast-paced environments
Ability to work in an onsite environment
What we offer:
Flexible paid time off and paid holidays
Early-stage equity in a rapidly growing company
Referral bonuses
Regular team off-sites
The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)
Standard company text repeated across Coram AI's postings is omitted here.