Aptiv
Senior Engineer - Algorithms
Troy, MI - USA · Senior
Sponsorship not specifiedDetected 14 days ago
PythonAlgorithmsCode ReviewGitAWSCloud PlatformsCI/CDLinuxMachine LearningDeep LearningPyTorchNLPLLMsMLOpsA/B TestingRoboticsElectrical EngineeringSensorsTest Automation
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 37 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 94%
Of 16 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 461 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 1002 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We work in partnership with almost all car manufacturers.
- Our sensors, systems and software can already be found in almost all passenger cars today.
- See your work come to life on the road-helping make mobility safer, greener, and more connected.
Responsibilities
- Develop perception, localization, prediction, planning, sensor-fusion, state-estimation, and threat-assessment algorithms for autonomous-driving and parking functions.
- Design, implement, and maintain scalable ML training, evaluation, and data-processing pipelines.
- Validate algorithms through simulation, laboratory testing, proving-ground evaluation, real-vehicle testing, and real-road testing.
- Perform root-cause analysis of model failures, missed detections, false detections, performance regressions, and safety-related issues.
- Develop algorithms for parking-space recognition, parking-line detection, object recognition, obstacle detection, localization, vehicle alignment, and parking control.
- Support state estimation and threat assessment for safe and reliable autonomous-driving operations.
- Seriously execute V-cycle procedure - a mindset to develop safety electronics to enhance driving safety
Requirements
- Experience optimizing and scaling large-model training.
- Experience shipping production ADAS or autonomous-driving features.
- Experience with AWS or cloud-native ML infrastructure.
Nice to have
- Work with large-scale datasets to improve model performance, robustness, and generalization.
- Improve algorithm performance across diverse environments, operating conditions, vehicle platforms, and global customer programs.
- Investigate challenging perception and sensor-fusion problems involving cameras, ultrasonic sensors, radar, lidar, and other vehicle sensors.
- Work in Linux development environments using Git-based workflows, code reviews, automated testing, and CI/CD practices.
- Communicate technical findings clearly and work analytically, creatively, and collaboratively to resolve complex engineering problems
- PhD may substitute for a portion of experience.
- model evaluation
- dataset development
Compensation
- Competitive compensation with bonus potential
Benefits
- Private health care effective day 1 of employment
- Paid Time Off (Holidays, Vacation, Designated time off, Parental leave)
- Learning and development opportunities
- Tuition Reimbursement
- Learn by doing - an entrepreneurial mindset that's driven by hands-on experimentation
- Embrace resilience - seeing every challenge as a learning opportunity and invitation to grow
- Competitive compensation with bonus potential
- Competitive health benefits
Company info
- We are Aptiv - a global technology company with 190,000 specialists in 46 countries.
- We are enabling the transition to software-defined vehicles supported by electrified and intelligently connected architectures - which will combine to power the future of mobility.
- Design, integrate, test, and release production software and algorithms for internal and external customers.
This listing is sourced directly from Aptiv's careers page and normalized into a canonical job model.