Okay, I've searched for Imaging System Engineer roles in Sunnyvale, CA, focusing on MR/AR technologies, requiring a PhD or MS in a related field, with proficiency in MATLAB and Python, specifically in contract positions. I have found 12 positions for you.

Sure. Here's the analysis:

Job Analysis:

The role of Research Scientist at Meta, as facilitated by Tundra, is fundamentally centered around advancing the capabilities of augmented and mixed reality technologies, particularly through the development of imaging systems. The successful candidate will be expected to leverage their expertise in imaging pipelines, color science, and real-time rendering to create innovative solutions that enhance user experiences in MR/AR applications. Key responsibilities include developing perceptual features that model human vision, prototyping MR/AR demos, and designing display color processing pipelines—tasks that demand not only technical proficiency but also creative problem-solving. Candidates will face challenges such as rapidly prototyping complex systems and ensuring the realization of perceptually accurate rendering techniques within dynamic team environments. Success in this role will likely be measured by the candidate's ability to produce high-quality prototypes and the effectiveness of their collaboration with cross-disciplinary teams, aligning outcomes with Meta's vision for the future of immersive technology.

Company Analysis:

Tundra operates as a strategic partner in providing staffing solutions and emphasizes a commitment to building meaningful relationships with both clients and candidates. As a global provider, Tundra’s mission is to be recognized as the representative of choice for top talent, which reflects a focus on quality and expertise. The company’s collaborative approach suggests a culture valuing innovation and responsiveness, critical for someone working in a cutting-edge environment like Meta’s Reality Labs. This role’s fit in Tundra’s organizational structure as a contract position likely provides substantial visibility and engagement with both Tundra and Meta, two organizations that prioritize innovation. The Research Scientist position is a strategic hire for a project aimed at launching new MR/AR technologies, meaning candidates must align their personal and professional goals with Tundra's mission of delivering exceptional talent to drive outcomes. A candidate thriving in this environment will need to embrace Tundra's service-oriented approach and Meta's forward-thinking culture to excel in their contributions.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to collaborate with a cross-functional team to solve a complex problem. What approach did you take?
• Describe a situation where you had to rapidly prototype a technical solution. How did you manage your time and resources?
• Can you give an example of a challenging technical problem you faced involving real-time rendering or imaging systems? How did you resolve it?
• What’s your process for gathering and integrating feedback on prototype designs from various stakeholders?
• How would you approach designing a perceptual feature that models human vision for MR/AR applications?
• What specific techniques do you use to evaluate the effectiveness of rendering methodologies in immersive environments?
• In what ways are you comfortable working with programming languages like MATLAB or Python to develop imaging solutions?
• Can you describe your experience with GPU or hardware-accelerated processing pipelines, specifically for image processing?
• Imagine you are assigned to prototype a new MR/AR demo with tight deadlines. How would you prioritize your tasks?
• Why are you interested in working at Tundra, and how do you think your background aligns with its vision and values?
• What excites you about the opportunity to contribute to Meta's Reality Labs, and how do you see yourself fitting into their team culture?
• What questions do you have about the collaboration between Tundra and Meta for this role?
• How would you describe the impact of HDR imaging on MR/AR experiences, and why is it relevant to this role?
• What emerging trends in computer vision or machine learning do you find most interesting and relevant to this position?