At a Glance
- Tasks: Collaborate with experts to solve computational problems and optimise performance on NVIDIA platforms.
- Company: Join NVIDIA, a leading tech company known for innovation and a vibrant culture.
- Benefits: Enjoy competitive salaries, comprehensive benefits, and a supportive work environment.
- Other info: Opportunities for travel and professional growth in a dynamic team.
- Why this job: Make a real impact in healthcare computing while working with cutting-edge technology.
- Qualifications: Bachelor's degree or higher in Computer Science, with strong programming and analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
What you will be doing:
- Work directly with other technical experts in the domain (industry and academia) to understand and address their computational problems as the domain evolves.
- Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network architectures.
- Craft and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
- Guide key application developers, contribute directly to the applications, and develop reference codes and libraries.
- Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
- Occasional travel for conferences and on-site visits with developers.
What we need to see:
- A Bachelors, Masters or PhD (or equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods.
- 5+ years of meaningful work experience.
- Familiarity with bioinformatics or medical imaging concepts and techniques.
- Programming proficiency in C/C++ with a deep understanding of algorithms, programming techniques, and software design.
- Hands-on and current experience with parallel programming, ideally CUDA, C++ standard parallelism, OpenMP or OpenACC.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Ways to stand out from the crowd:
- Medical imaging algorithms, e.g. CT, MRI, and Ultrasound reconstruction, point-cloud registration, 3D semantic segmentation.
- Bioinformatic methods, e.g. genome assembly, variant calling, GWAS, single-cell analysis, sequence alignment, spatial genomics, base-calling.
- Other fields of bioinformatics, e.g. proteomics, bisulfite sequencing, pangenomics, chemo-informatics, drug discovery.
- Deep Learning methods used in medical imaging or bioinformatics fields.
With highly competitive salaries, a comprehensive benefits package, and a great company culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world and our engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Healthcare Computing Developer Technology Engineer in Reading employer: Nvidia
NVIDIA is an exceptional employer, renowned for its innovative work culture and commitment to employee growth. With competitive salaries and a comprehensive benefits package, we foster an environment where creative engineers can thrive, collaborate with leading experts, and contribute to groundbreaking advancements in healthcare computing. Our location offers unique opportunities for networking and professional development through conferences and direct engagement with the developer community.
StudySmarter Expert Advice🤫
We think this is how you could land Healthcare Computing Developer Technology Engineer in Reading
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Nvidia. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Nvidia!
We think you need these skills to ace Healthcare Computing Developer Technology Engineer in Reading
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Nvidia that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Nvidia.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Nvidia does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Nvidia
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Nvidia. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Nvidia's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Nvidia. This shows your passion for the industry!
