Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Application Engineer

Cadence Design Systems, Inc.
Bracknell
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist: AI, MLOps & Production Leader

Principal Data Engineer

Principal Machine Learning Engineer

Senior Data Engineer

Senior Data Engineer...

Principal Data Scientist

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Principal Application Engineer

This Digital IC design and support role offers an opportunity to work on a variety of digital implementation and support activities associated with Cadence EDA tools for Synthesis, Logical Equivalency Checking (LEC), Design-for-Test (DFT), Place & Route and Static Timing Analysis (STA).

You may get involved in design services projects and/or supporting customers using Cadence tools on their projects in areas such as 5G, IOT, automotive, advanced CPU, wireless, audio, image processing, AI, machine learning etc.

This role is ideal for someone with several years of hands on ASIC/IC design experience who is looking for a new challenge in an absorbing customer facing role.

This role requires strong technical capability in Cadence tools (or similar), flow development, and the ability to think outside of the box.

Job responsibilities:

Support customers using Cadence EDA software in one or more of these areas:Synthesis, DFT, Logical Equivalency CheckingLow Power Design Implementation, SDC VerificationPlace and RouteParasitic Extraction, Timing Signoff, Power Signoff Be the primary focal point for technical issues, questions, and discussions for a given customer engagement Lead technical discussions with customers and be the primary technical interface between customer and Cadence R&D. Capable of influencing outcomes among customers, R&D and Cadence technical team members. Develop an understanding of the customer's needs and also of the competition's technology and sales strategies. Perform methodology assessments, improve existing design methodologies, and develop new ones that leverage Cadence technology and services. Create and conduct technical presentations and product demonstrations to customers Requires on-site visits and some travel Good team player, help mentor other AEs Good consulting/client skills. Deliver results with minimal day-to-day guidance. Self-motivated. Review, document and resolve project technical issues. Escalation of issues to Project Management when appropriate

Requirements:

MS in Electronics Engineering with minimum 5+ years industry related experience in design and/or EDA 4+ years of experience in Synthesis (Genus or Design Compiler), DFT and Logic Equivalency tools Or Cadence or Synopsys place and route tools (Physical Synthesis, PnR, CTS, Static Timing Analysis) Debug and resolve complicated PPA, Low Power implementation and TAT issues. Exceptional troubleshooting and analytical skills Excellent command in scripting languages such as Perl, Tcl and shell scripting essentials  Strong problem solving & analysis skills covering digital implementation Proven track record and experience working in a fast-paced environment  Excellent customer interaction & presentation skills

We’re doing work that matters. Help us solve what others can’t.

We’re doing work that matters. Help us solve what others can’t.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.