CAREERSFORGE / YOUR NEXT MOVE
Ignis Your Career Coach & Workspace
See what you’ve practiced, what your resume demonstrates, and what to work on next.
Your next career move starts here
Your free AI career coach. Choose a goal, work through your next step, and return to review your progress.
Try it as a guest. Save Progress creates an account for your recorded activities and conversation history.
Readiness · Getting started
Activities recorded · 0
PRIVATE, IN-BROWSER TOOL
Decode a Rejection Email
Paste only what you’re comfortable reviewing. This tool matches common wording in your browser; it does not save the email, send it to AI, or know why the employer made its decision.
Wording found in the email
Possible meaning — not a fact about this decision
Three practical next steps
60-SECOND CLARITY ROUND
Spot the Red Flag
These are illustrative practice snippets, not quotes from real employers. A phrase alone does not prove a workplace is harmful; use it as a prompt to ask for specifics.
Choose the wording that needs a follow-up question. Clear scope, documented onboarding, and reasonable boundaries are useful context too.
Use the explanation as a conversation starter, not as a verdict on a company.
Quick Start: How Ignis Works
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1. Build or Scan
Create or review a resume.
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2. Train Your Focus
Try a short exercise and review your practice score.
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3. Consult Ignis
Use your recorded results to plan a next step.
Your next step with Ignis
Ask Ignis to connect your recorded results and suggest one practical next step.
Your next step starts here
Your performance radar unlocks after your first recorded activity. Complete a 2-minute mock interview or scan a resume to generate your report.
Career Health Radar
Complete a resume review or a Brain Training session to see your results here.
Readiness labels summarize recorded practice. They are planning cues, not hiring predictions or a measure of job suitability.
Strengths and priorities
Complete a resume review to see strengths and improvement priorities.
Open Interview Practice →Top matched roles
Compare your evidence with a role in Job Radar to calculate a match.
Activity mix
Your next step starts here
Your practice dashboard unlocks after your first recorded activity. Begin with a short interview or resume review, then explore your daily sprint and training.
Daily Career Sprint
Daily Confidence Pill
Loading today’s practical career prompt…
Optional: breathe in for 4 seconds, then out for 4.
TODAY’S CHALLENGE
One small practice, chosen for today
Build a little momentum with a short reasoning exercise or a job-description clarity round.
Brain Training
No synced game results yet.
Skill scores average the latest result from each played exercise in that category. Open a category to see each exercise.
YOUR ROLE, YOUR NEXT MOVE
Job Radar
Explore published opportunities, filter by your priorities, and open a listing to review its requirements and apply. Choose “Open match details in Workspace” to compare your analyzed resume with the role and plan your next step.
Tool preparation
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Open roles
1,467 jobs found · Showing 1–12
ROLE MATCH
Applied Scientist at Quilter
Review your resume for this role →
{"title":"Applied Scientist at Quilter","requirements":["Proficiency in Python for prototyping and for integrating with ML systems.","Experience with reinforcement learning, CAD\/EDA tools or physics-based optimization."],"description":"About Quilter\n\nAt Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML\/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.\nNo matter where we come from, we\u0027re united by a common vision for the future and a core set of values we think will get us there:\n\n\nCuriosity\n\n\nConviction\n\n\nRigor\n\n\n\nQuilter is looking for Senior to Staff Applied Scientists and Software Engineers to help invent the next generation of automated PCB design. You\u0027ll design, implement and test state-of-the-art algorithms for some of the hardest problems in computational geometry, optimization, high-performance computing and physics simulation. As a senior member of the team, you\u0027ll help shape the technical roadmap, mentor your peers and build the foundation for superhuman PCB design.\nYou\u0027ll work on one or more parts of the system, such as core learning algorithms, differential geometry techniques, state-of-the-art optimization methods, CPU and GPU backend performance, and fast physics simulation.\nWhat You\u2019ll Do\n\n\nDrive applied research toward the next breakthrough in PCB design.\n\n\nArchitect, implement and test high-performance libraries in Python, C++, Mojo, TypeScript, etc.\n\n\nLead by example: mentor engineers, give technical reviews and help raise the team\u0027s engineering practices.\n\n\nWhat We\u2019re Looking For\n\n\n3 to 10+ years of industry experience maintaining and extending large, high-performance codebases in collaborative environments.\n\n\nA strong academic background in applied mathematics, with deep expertise in one or more of: optimization, machine learning, computational geometry, graph theory, high-performance computing (HPC), meshing, numerical methods, physics simulation, or a related field.\n\n\nProficiency in Python for prototyping and for integrating with ML systems.\n\n\nStrong leadership skills: ownership, hiring and mentoring, sound decision-making and clear communication.\n\n\nNice to Have\n\n\nAn advanced degree (M.Sc. or Ph.D.) in computer science, computational physics, robotics or a related field.\n\n\nExpertise in GPU optimization and parallel or distributed algorithms.\n\n\nExperience with reinforcement learning, CAD\/EDA tools or physics-based optimization.\n\n\nContributions to open-source geometry, simulation or HPC projects.\n\n\nKnowledge of physics engines, finite element methods (FEM) or distributed computing.\n\n\nPlease note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.\n\nWhat we offer:\n\n\nInteresting and challenging work\n\n\nCompetitive salary and equity benefits\n\n\nHealth, dental, and vision insurance\n\n\nRegular team events and offsites (~4x \/ year)\n\n\nUnlimited paid time off\n\n\nPaid parental leave \n\n\nWant to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog."}0%
Resume evidence match
Analyze your resume to calculate your match.
The percentage summarizes matching terms in the resume and role criteria. Review the requirements, experience level, qualifications, and application instructions before applying.
Analyze my resume →Signals found in your resume
Signals to review or strengthen
Review the listing criteria
- Proficiency in Python for prototyping and for integrating with ML systems.
- Experience with reinforcement learning, CAD/EDA tools or physics-based optimization.
Application board
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