At a Glance
- Tasks: Characterise high-performance MEMS structures and analyse experimental data.
- Company: Venture-backed deep-tech company in Cambridge, focused on advanced MEMS sensors.
- Benefits: Performance-based bonus, pension, mentorship, and conference opportunities.
- Why this job: Join a fast-paced startup and influence next-gen sensor technology.
- Qualifications: Master’s or PhD in relevant fields with strong programming skills.
- Other info: Ideal for early-career engineers seeking rapid technical growth.
The predicted salary is between 36000 - 60000 £ per year.
We are representing a venture-backed, Cambridge-based deep-tech company building navigational-grade silicon MEMS sensors. Their focus: resonant accelerometers and gyroscopes that compete at the very top end of the global inertial sensing market. This is not commodity MEMS. This is physics-heavy, performance-obsessed, failure-analysis-driven engineering. They are scaling their R&D and New Product Development capability and need a MEMS Characterisation Engineer who can think experimentally, analyse rigorously, and operate in a fast-moving startup environment.
You will sit inside the R&D / NPD group and take ownership of characterising high-performance resonant MEMS structures during development. In blunt terms: You will break devices, measure everything, analyse deeply, and feed the data back to designers until the physics lines up with the models. If you enjoy closing the loop between simulation and reality — this is your role.
What You’ll Actually Do:
- Resonant Mode Analysis: Characterise Q-factor, frequency stability, mode coupling and parasitic effects. Identify non-ideal behaviour and explain it quantitatively. Work at the level of fundamental device physics — not surface-level metrics.
- Test & Packaging Development: Develop experimental setups to support rapid NPD cycles. Implement novel packaging approaches to enable accurate device validation. Build instrumentation workflows that can survive iteration.
- Inertial Performance Validation: Quantify bias stability, noise, drift and cross-axis sensitivity. Use specialised test systems to validate true navigational-grade performance.
- Data & Automation: Develop Python-based analysis tools for experimental datasets. Improve instrumentation control where required (Python, LabVIEW or equivalent). Turn raw data into defensible technical conclusions.
- Close the Model-to-Measurement Loop: Work directly with MEMS designers running FEA (COMSOL). Compare empirical data to simulation. Diagnose mismatch. Feed back actionable design insight.
- Environmental Characterisation: Evaluate performance across temperature, vibration and shock regimes. Understand failure mechanisms, not just outcomes.
What They’re Looking For:
- Education: Master’s or PhD in Mechanical Engineering, Electrical Engineering, Physics, Nanotechnology or related discipline.
- Technical Depth: Strong understanding of Design of Experiments (DOE). Experience designing and executing structured test campaigns. High-level programming capability (Python essential; LabVIEW useful). Comfortable operating precision instrumentation and interpreting complex datasets.
- Mindset: Scientific rigour in documentation. Comfortable in ambiguity — this is a startup, not a corporate lab. Able to operate independently without hand-holding. Willing to iterate quickly as device architectures evolve.
If you want a rigid corporate test role — this is not it. If you want to build world-class inertial sensors from first principles — it is.
What You’ll Gain:
- Exposure to the full product lifecycle: R&D → NPD → production.
- Direct mentorship from senior MEMS designers.
- Real influence on next-generation sensor architectures.
- Conference attendance and publication opportunities.
- Performance-based bonus, pension and benefits.
- Cambridge-based innovation environment with strong technical culture.
Who This Is Ideal For:
- An early-career engineer who wants serious technical growth fast.
- A PhD graduate who doesn’t want to stay in academia but still wants physics.
- An experimentalist who enjoys proving or disproving simulation models.
- Someone who wants to build genuinely high-performance hardware — not incremental consumer tech.
Location: Cambridge, UK – on-site role within a highly technical R&D team.
Confidentiality: This search is being conducted on a confidential basis. Full company details will be disclosed after initial discussion.
MEMS Characterisation Engineer in Cambridge employer: SoCode Recruitment
Contact Detail:
SoCode Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MEMS Characterisation Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the MEMS and deep-tech space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! If you’ve got any projects or experiments that demonstrate your expertise in resonant MEMS structures, make sure to highlight them in conversations. We want to see your hands-on experience and how you think experimentally.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Design of Experiments and programming in Python. We recommend running through some mock interviews with friends or mentors to get comfortable discussing complex datasets and device physics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace MEMS Characterisation Engineer in Cambridge
Some tips for your application 🫡
Show Your Passion for Physics: When you're writing your application, let your enthusiasm for physics and engineering shine through. We want to see how your background aligns with our focus on high-performance MEMS sensors, so don’t hold back on sharing your experiences!
Be Specific About Your Skills: Make sure to highlight your technical skills, especially in areas like Python programming and experimental design. We’re looking for someone who can dive deep into data analysis, so give us examples of how you've done this in the past.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific requirements of the MEMS Characterisation Engineer role. Mention relevant projects or experiences that demonstrate your ability to operate in a fast-paced startup environment.
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 it gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at SoCode Recruitment
✨Know Your Physics
Brush up on your fundamental physics concepts, especially those related to MEMS technology. Be prepared to discuss resonant mode analysis and how you would approach characterising Q-factors and frequency stability. Showing a deep understanding of the principles behind the technology will impress your interviewers.
✨Demonstrate Experimental Thinking
Think about how you would design experiments for testing MEMS structures. Prepare examples of past projects where you developed experimental setups or conducted structured test campaigns. Highlight your ability to iterate quickly and adapt to new findings, as this is crucial in a fast-paced startup environment.
✨Showcase Your Programming Skills
Since Python programming is essential for this role, be ready to discuss your experience with it. Bring examples of Python-based analysis tools you've developed or used in previous roles. If you have experience with LabVIEW, mention that too, as it could set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain how you would close the model-to-measurement loop and diagnose mismatches between empirical data and simulations. Being able to articulate your thought process clearly will demonstrate your analytical skills and scientific rigour.