AI & Embedded Technology Engineers

Engineer 1 – AI / Model Development

Job Summary:

We are seeking an innovative and passionate Engineer 1 specialized in AI and Model Development. This role will focus on the development, training, and validation of AI models, making a significant impact in enhancing our product capabilities and user experiences.

Key Responsibilities:

• Design and develop cutting-edge AI models using PyTorch to meet project goals.
• Conduct training and validation of models, ensuring robustness and accuracy.
• Handle dataset preparation and management to facilitate seamless model training.
• Perform inference evaluations to optimize model performance in real-world scenarios.
• Collaborate with cross-functional teams to integrate models into existing systems.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proficiency in AI model development, specifically using PyTorch.
• Strong understanding of machine learning concepts and techniques.
• Experience with dataset handling and preprocessing methodologies.
• Excellent problem-solving skills and attention to detail.

Preferred Qualifications:

• Master's degree in a related field or equivalent experience.
• Familiarity with additional AI frameworks, such as TensorFlow.
• Knowledge of deployment strategies and cloud-based services.
• Experience collaborating in a team-oriented environment.

Benefits:

• Competitive salary and performance-based bonuses.
• Health, dental, and vision insurance plans.
• Flexible working hours and remote work opportunities.
• Generous paid time off and holiday allowances.
• Continuous learning and development programs.

Engineer 2 – Embedded AI Deployment

Job Summary:

We are looking for a dedicated Engineer 2 specializing in Embedded AI Deployment. This role plays a crucial part in deploying AI models onto the NVIDIA Jetson platform, optimizing runtime performance, and ensuring successful edge AI execution.

Key Responsibilities:

• Implement model deployment strategies on the Jetson platform for efficient AI inference.
• Optimize runtime performance using TensorRT and other relevant tools.
• Integrate AI solutions into embedded Linux systems for seamless operation.
• Validate edge AI executions to ensure reliability and performance standards.
• Collaborate with development teams to troubleshoot and enhance deployment processes.

Requirements:

• Bachelor's degree in Electrical Engineering, Computer Science, or a related discipline.
• Solid experience with NVIDIA Jetson platforms and TensorRT.
• Proficiency in embedded systems and Linux-based environments.
• Strong analytical skills and ability to work through complex challenges.
• Excellent communication and teamwork abilities.

Preferred Qualifications:

• Master's degree in a tech-related field or equivalent work experience.
• Familiarity with IoT applications and deployment in edge computing.
• Knowledge of other AI deployment frameworks and tools.

Benefits:

• Competitive compensation and bonus structure.
• Comprehensive health, dental, and vision benefits.
• Flexible schedules and remote work options.
• Access to professional development workshops and training.
• Supportive and inclusive company culture.

Engineer 3 – GPU / System Optimization & Integration

Job Summary:

Join our team as an Engineer 3 to focus on GPU/system optimization and integration. This key position is responsible for enhancing system performance while streamlining camera and sensor pipelines for advanced applications.

Key Responsibilities:

• Perform GPU acceleration tuning to maximize computational capabilities and efficiency.
• Drive performance optimization initiatives across systems to improve throughput.
• Integrate camera/sensor pipelines that are robust and effective for AI applications.
• Engage in system-level debugging to identify and resolve performance bottlenecks.
• Collaborate with engineers to ensure seamless integration of GPU resources into systems.

Requirements:

• Bachelor's degree in Computer Engineering, Electrical Engineering, or similar field.
• Strong expertise in CUDA programming and GPU optimization techniques.
• Experience with system-level performance analysis and debugging.
• Familiarity with camera/sensor integration processes.
• Exceptional analytical skills and a detail-oriented mindset.

Preferred Qualifications:

• Master's degree or relevant advanced certification.
• Knowledge of additional optimization tools and techniques.
• Experience in developing or deploying AI-driven models and applications.

Benefits:

• Attractive salary and performance bonuses.
• Health, dental, and vision coverage.
• Flexible work environment and schedule flexibility.
• Generous leave policies and company outings.
• Continuing education support for skills development.