At a Glance
- Tasks: Optimise ML inference for edge accelerators and GPUs, enhancing performance across models.
- Company: Gravity Engineering Services Pvt Ltd, a leader in innovative engineering solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities to collaborate with diverse stakeholders.
- Why this job: Join a cutting-edge team and make a significant impact on ML performance.
- Qualifications: Experience in performance optimisation, TensorRT, CUDA, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Gravity Engineering Services Pvt Ltd. is looking for a Staff ML Performance Engineer to optimise ML inference for edge accelerators and GPUs. You will drive the technical direction for production systems, enhancing performance across various models and devices.
The ideal candidate should have proven experience in performance optimisation, strong proficiency in TensorRT and CUDA, and excellent communication skills to collaborate with multiple stakeholders.
Staff ML Inference Optimization Engineer (Edge) employer: Gravity Engineering Services Pvt Ltd.
Gravity Engineering Services Pvt Ltd. is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Staff ML Inference Optimization Engineer. With a focus on cutting-edge technology and performance optimisation, employees benefit from continuous learning opportunities and the chance to work with talented professionals in a dynamic environment. Located in a vibrant tech hub, the company offers competitive benefits and a supportive atmosphere that encourages personal and professional growth.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Inference Optimization Engineer (Edge)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and don’t be shy about sharing your passion for ML optimisation. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TensorRT and CUDA. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by solving problems related to ML inference and performance optimisation. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team at Gravity Engineering Services!
We think you need these skills to ace Staff ML Inference Optimization Engineer (Edge)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with performance optimisation, TensorRT, and CUDA. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising ML inference for edge devices. Let us know how your background makes you the perfect fit for our team.
Showcase Your Communication Skills:Since collaboration is key in this role, make sure to highlight any experiences where you’ve worked with different stakeholders. We love seeing examples of how you’ve effectively communicated complex ideas!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of TensorRT and CUDA. Be ready to discuss specific projects where you've optimised ML inference, and how you tackled challenges. This will show your technical prowess and give you confidence during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with multiple stakeholders, prepare examples of how you've successfully collaborated in the past. Think about times when you had to communicate complex technical concepts to non-technical team members. This will highlight your excellent communication skills.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving abilities. Practice articulating your thought process when optimising performance across different models and devices. This will demonstrate your analytical skills and ability to think on your feet.
✨Research the Company Culture
Familiarise yourself with Gravity Engineering Services Pvt Ltd.'s values and culture. Tailor your responses to align with their mission and vision. Showing that you understand and resonate with their company culture can set you apart from other candidates.
