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 exciting challenges and career advancement opportunities.
- Why this job: Join a cutting-edge team and make a real impact on ML performance optimisation.
- 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) in London 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 industry-leading experts in a dynamic environment. Located in a vibrant tech hub, the company offers competitive benefits and a supportive atmosphere that encourages professional growth and meaningful contributions to impactful projects.
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) in London
✨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 give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms, as collaboration with stakeholders is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge in the hiring process.
We think you need these skills to ace Staff ML Inference Optimization Engineer (Edge) in London
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 and 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 mention any experiences where you’ve worked with different stakeholders. We love seeing how you can bridge the gap between technical and non-technical teams!
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 don’t miss out on any important updates from our team!
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 communicated complex technical concepts to non-technical team members, as this will highlight your 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 demonstrate how you can contribute to their goals. This shows genuine interest and helps you stand out as a candidate.
