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Software Developer - Systems Performance
Ford Motor Company
Oakville, CAN
Full-time
Mid · 3–5 years experience
Hybrid
Discovered 1 weeks ago
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Key Skills for This Role
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Experience:
- 3-5 years' professional experience in embedded C/C++ development.
- 3+ years' experience in Python programing.
- Hands-on experience with Linux and/or Android internals.
- Proven experience with multi-threaded embedded systems design and Real-Time OS (RTOS) concepts.
- Even better, you may have...
- Education: Master's degree in Electrical/Computer Engineering, Computer Science, or a related field.
- Specialized optimization experience in one or more areas: File Systems, Memory Management, CPU Scheduling, or Kernel Configuration.
- Excellent analytical, problem-solving, and communication skills.
- Expertise with performance profiling tools such as strace, ftrace, LTTng, Perfetto, QNX Momentics.
- Proficiency in scripting languages, particularly Python, for data parsing and automation.
- Experience with In-Vehicle Infotainment (IVI) or automotive networking (CAN, Automotive Ethernet).
- Experience with CI/CD pipelines (Jenkins) and modern version control (Git).
- Knowledge of data visualization techniques to communicate performance trends to stakeholders.
- A self-driven mindset with the ability to thrive in a multi-site, collaborative environment.
- This posting is for an existing vacancy within our team.
- Successful candidates will be required to provide proof of degree completion for the highest level of education attained. If the degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required.
- We thank all candidates for their interest, but only those selected for an interview will be contacted.
- Ford of Canada is an Equal Opportunity Employer and is committed to a culturally diverse workforce.
- Accommodations for applicants with disabilities throughout the recruitment, selection and/or assessment processes, where needed, are available upon request. Please inform Human Resources of the nature of any accommodation(s) that you may require.
- Candidates for this position must be legally entitled to work in Canada. Ford Motor Company of Canada, Limited, does not sponsor work permit applications.
- This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
Experience:
- The expected annual salary range for this Ford of Canada position is $ 96,000.00 - $146,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.
- We thank all candidates for their interest, but only those selected for an interview will be contacted. Ford of Canada is an Equal Opportunity Employer and is committed to a culturally diverse workforce.
- #LI-Hybrid #LI-SHERMAN
Preferred Qualifications
- The expected annual salary range for this Ford of Canada position is $ 96,000.00 - $146,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.
Responsibilities
- Measure system behavior to isolate sub-optimal interactions and deep-dive into complex bottlenecks across all layers—from Kernel and Drivers up to Application and UI—to architect and implement system-level performance fixes.
- Design and build on-device and server-side tools, alongside automated testing, to capture and post-process key performance diagnostics.
- Characterize the performance impacts of new feature submissions against established KPI budgets (such as boot time, latency, and throughput).
- Contribute actively to team deliverables through participation in agile scrum development sprints.
- Monitor and optimize system memory footprint, resolving memory leaks, fragmentation, and resource contention to maintain long-term stability during continuous operation.
- Profile and optimize power consumption, thermal behavior, and system sleep/wake cycles to maximize efficiency without compromising responsiveness.
- Build telemetry pipelines and remote logging mechanisms to analyze real-world performance data from test fleets and proactively detect regressions.
- Collaborate with hardware vendors and silicon partners to leverage hardware accelerators, ensuring efficient CPU utilization and optimal throughput.
- You'll have...
- Education: Bachelor's degree in Electrical/Computer Engineering, Computer Science, or a related field of study.
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