Prebuilt Projects2Jobs roadmap
Perception Engineer Roadmap
Build hiring proof for Perception Engineer roles: perception, control, and real-world autonomy.
Perception Engineer candidates and career switchers targeting Robotics roles.
Timeline
8 weeks
Level
Intermediate
Final outcome
A Perception Engineer portfolio with shipped projects, public GitHub proof, resume bullets, and interview talking points.
Skills to prove
ROS
Python/C++
Control theory
Computer vision
Simulation
Sensor fusion
Portfolio projects
- Simulated robot completing an autonomous task in Gazebo or Isaac
- Perception pipeline with detection and tracking
- Control project with a tuned PID or model-based controller
Prebuilt build path
Follow these phases in order. Each one ends with a portfolio artifact you can show in GitHub, on your resume, or in interviews.
Step 1
Weeks 1-2
Master the simulation loop
Build robotics skills with fast, cheap iteration.
- Set up a ROS-based robot in simulation with sensors and teleoperation.
- Implement and visualize one perception or localization capability.
Deliverable: A simulated robot with a working perception stack.
Step 2
Weeks 3-6
Close the autonomy loop
Prove you can make a robot act on what it senses.
- Combine perception, planning, and control to complete a task autonomously.
- Quantify performance across runs and document failure modes.
Deliverable: An autonomous demo with metrics and failure analysis.
Step 3
Weeks 7-8
Package the proof for hiring
Turn the work into evidence recruiters and interviewers can verify quickly.
- Polish each repo README with screenshots, setup steps, architecture notes, and tradeoffs.
- Write resume bullets and interview talking points that map each project to Perception Engineer job requirements.
Deliverable: Public GitHub proof, an updated resume, and interview-ready project stories.
Make it personal
Projects2Jobs compares this roadmap to your resume, current skills, and existing projects, then generates a role-specific build plan.
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