Researcher 1
Nissan Motor Corporation · Santa Clara, CA · 1 mo ago
Analyst$98k–$199k/yrFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse the job posting.
Given content:
Location(s): Silicon Valley
Job Schedule: Full-time, Hybrid/On-site
Education Requirement: Bachelor's Degree
Sponsorship: No
Strong Candidate Identified: Yes
We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms that enable safe, predictable, and human-like autonomous vehicle behavior. Working at the intersection of machine learning, robotics, and computer vision, you will contribute to cutting-edge research focused on road user detection, road structure estimation, and perception system performance in both simulated and real-world driving environments. If you're excited about solving complex technical challenges and helping shape the future of autonomous driving, we'd love to hear from you.
A Day in the Life (list of duties):
- Design and execute perception research projects focused on road user detection, scene understanding, and road structure estimation.
- Train, evaluate, and optimize machine learning models using appropriate datasets and modern deep learning techniques.
- Conduct rigorous testing and validation in simulation environments and real-world vehicle testing scenarios.
- Analyze model performance, investigate failure modes, and identify opportunities for improvement.
- Develop maintainable research software and experimental frameworks using Python and C++.
- Collaborate with researchers and engineers across autonomous systems, software, and vehicle development teams.
- Present technical findings, research results, and recommendations to project stakeholders.
- Contribute to technical publications, patents, conference papers, and other innovation initiatives.
- Document experimental results and provide regular updates to support project planning and execution.
Who We're Looking For:
We're looking for a curious and motivated researcher who enjoys transforming emerging technologies into practical solutions. The ideal candidate combines strong machine learning and software development fundamentals with a passion for autonomous systems and a willingness to learn through experimentation.
Required: Bachelors Degree with a minimum of 5 years relevant experience or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, Robotics, or a related technical field with 0-2 years of relevant experience.
Strong foundation in machine learning, robotics, optimization, controls, computer vision, autonomous systems, or related disciplines.
Demonstrated research experience through thesis work, academic projects, internships, or equivalent activities involving literature review, experimental design, implementation, and technical evaluation.
Strong programming skills in Python and C++.
Experience designing, training, and evaluating machine learning models.
Ability to communicate technical findings and research results effectively.
Desired:
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with perception systems for autonomous vehicles, robotics, or intelligent transportation systems.
- Knowledge of sensor fusion, scene understanding, object detection, tracking, or road structure estimation.
- Experience evaluating machine learning models in simulation and real-world environments.
- Experience authoring technical papers, patents, conference publications, or research reports.
- Familiarity with autonomous driving technology stacks and modern perception architectures.
What You'll Look Forward to at Nissan:
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE ... (lots of EEO boilerplate). We need to remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should strip out the EEO paragraphs, drug-free workplace, etc. Also remove "NISSAN FOR EVERYONE" etc. Also remove "What You'll Look Forward to at Nissan:" maybe we keep Benefits and Career Growth? The instruction: include a section ONLY when posting has real, specific content for it — never emit a heading followed by filler/placeholder text. So we need to decide which sections to include.
We have:
- About the role: The introductory paragraph(s) describing role. Could be "About the role". We have a paragraph: "We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms...". That's substantive.
- Responsibilities: The "A Day in the Life" list is duties. So we can put under Responsibilities.
- Requirements: The "Who We're Looking For" includes required qualifications. Could be Requirements.
- Qualifications: Might be similar to Requirements; but we can combine? The instruction says prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements (including required and desired), Benefits, Pay, Schedule.
We have Pay: Salary Range: $97,745.00 - $198,753.00 plus explanation. That's specific content, so we should include Pay section.
Schedule: Job Schedule: Full-time, Hybrid/On-site. That's specific, so include Schedule.
Benefits: The "What You'll Look Forward to at Nissan:" includes Career Growth and Continuous Learning Opportunities and Rewards (Comprehensive Benefits Package). That's benefits content. So we can include Benefits section.
We should not include sections like Qualifications if it's redundant with Requirements. We could keep Requirements and maybe Skills? But we have skills listed in required/desired. Could combine into Requirements. The instruction says prefer a few substantive sections over many thin ones. So maybe we have About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. That's six sections.
We must not repeat the job title as a heading. The page already shows it, so we don't add
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse the job posting.
Given content:
Location(s): Silicon Valley
Job Schedule: Full-time, Hybrid/On-site
Education Requirement: Bachelor's Degree
Sponsorship: No
Strong Candidate Identified: Yes
We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms that enable safe, predictable, and human-like autonomous vehicle behavior. Working at the intersection of machine learning, robotics, and computer vision, you will contribute to cutting-edge research focused on road user detection, road structure estimation, and perception system performance in both simulated and real-world driving environments. If you're excited about solving complex technical challenges and helping shape the future of autonomous driving, we'd love to hear from you.
A Day in the Life (list of duties):
- Design and execute perception research projects focused on road user detection, scene understanding, and road structure estimation.
- Train, evaluate, and optimize machine learning models using appropriate datasets and modern deep learning techniques.
- Conduct rigorous testing and validation in simulation environments and real-world vehicle testing scenarios.
- Analyze model performance, investigate failure modes, and identify opportunities for improvement.
- Develop maintainable research software and experimental frameworks using Python and C++.
- Collaborate with researchers and engineers across autonomous systems, software, and vehicle development teams.
- Present technical findings, research results, and recommendations to project stakeholders.
- Contribute to technical publications, patents, conference papers, and other innovation initiatives.
- Document experimental results and provide regular updates to support project planning and execution.
Who We're Looking For:
We're looking for a curious and motivated researcher who enjoys transforming emerging technologies into practical solutions. The ideal candidate combines strong machine learning and software development fundamentals with a passion for autonomous systems and a willingness to learn through experimentation.
Required: Bachelors Degree with a minimum of 5 years relevant experience or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, Robotics, or a related technical field with 0-2 years of relevant experience.
Strong foundation in machine learning, robotics, optimization, controls, computer vision, autonomous systems, or related disciplines.
Demonstrated research experience through thesis work, academic projects, internships, or equivalent activities involving literature review, experimental design, implementation, and technical evaluation.
Strong programming skills in Python and C++.
Experience designing, training, and evaluating machine learning models.
Ability to communicate technical findings and research results effectively.
Desired:
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with perception systems for autonomous vehicles, robotics, or intelligent transportation systems.
- Knowledge of sensor fusion, scene understanding, object detection, tracking, or road structure estimation.
- Experience evaluating machine learning models in simulation and real-world environments.
- Experience authoring technical papers, patents, conference publications, or research reports.
- Familiarity with autonomous driving technology stacks and modern perception architectures.
What You'll Look Forward to at Nissan:
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE ... (lots of EEO boilerplate). We need to remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should strip out the EEO paragraphs, drug-free workplace, etc. Also remove "NISSAN FOR EVERYONE" etc. Also remove "What You'll Look Forward to at Nissan:" maybe we keep Benefits and Career Growth? The instruction: include a section ONLY when posting has real, specific content for it — never emit a heading followed by filler/placeholder text. So we need to decide which sections to include.
We have:
- About the role: The introductory paragraph(s) describing role. Could be "About the role". We have a paragraph: "We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms...". That's substantive.
- Responsibilities: The "A Day in the Life" list is duties. So we can put under Responsibilities.
- Requirements: The "Who We're Looking For" includes required qualifications. Could be Requirements.
- Qualifications: Might be similar to Requirements; but we can combine? The instruction says prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Requirements (including required and desired), Benefits, Pay, Schedule.
We have Pay: Salary Range: $97,745.00 - $198,753.00 plus explanation. That's specific content, so we should include Pay section.
Schedule: Job Schedule: Full-time, Hybrid/On-site. That's specific, so include Schedule.
Benefits: The "What You'll Look Forward to at Nissan:" includes Career Growth and Continuous Learning Opportunities and Rewards (Comprehensive Benefits Package). That's benefits content. So we can include Benefits section.
We should not include sections like Qualifications if it's redundant with Requirements. We could keep Requirements and maybe Skills? But we have skills listed in required/desired. Could combine into Requirements. The instruction says prefer a few substantive sections over many thin ones. So maybe we have About the role, Responsibilities, Requirements, Benefits, Pay, Schedule. That's six sections.
We must not repeat the job title as a heading. The page already shows it, so we don't add Researcher I
. Good.
We must not put Job ID/requisition numbers as headings — none present.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format as lists.
We need to remove boilerplate: EEO, drug-free workplace, NISSAN FOR EVERYONE, etc. Also remove "For more information, access our Nissan Benefits Overview Guide." maybe keep as part of benefits? It's a reference; but it's not boilerplate? It's a link instruction; could be considered application instruction? It's not exactly application instruction but it's a reference. Might be okay to keep but it's not essential. Safer to keep benefits description but maybe drop the "For more information..." line as it's not substantive? It's a pointer; but it's not required. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. That line is not application instruction; it's a reference. Could keep but it's not essential. I'd keep it as part of benefits.
We also need to remove duplicated lines: none.
Now produce HTML fragment.
Structure:
About the role
We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms that enable safe, predictable, and human-like autonomous vehicle behavior. Working at the intersection of machine learning, robotics, and computer vision, you will contribute to cutting-edge research focused on road user detection, road structure estimation, and perception system performance in both simulated and real-world driving environments. If you're excited about solving complex technical challenges and helping shape the future of autonomous driving, we'd love to hear from you.
Responsibilities
- Design and execute perception research projects focused on road user detection, scene understanding, and road structure estimation.
- Train, evaluate, and optimize machine learning models using appropriate datasets and modern deep learning techniques.
- Conduct rigorous testing and validation in simulation environments and real-world vehicle testing scenarios.
- Analyze model performance, investigate failure modes, and identify opportunities for improvement.
- Develop maintainable research software and experimental frameworks using Python and C++.
- Collaborate with researchers and engineers across autonomous systems, software, and vehicle development teams.
- Present technical findings, research results, and recommendations to project stakeholders.
- Contribute to technical publications, patents, conference papers, and other innovation initiatives.
- Document experimental results and provide regular updates to support project planning and execution.
Requirements
We're looking for a curious and motivated researcher who enjoys transforming emerging technologies into practical solutions. The ideal candidate combines strong machine learning and software development fundamentals with a passion for autonomous systems and a willingness to learn through experimentation.
Required: Bachelors Degree with a minimum of 5 years relevant experience or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, Robotics, or a related technical field with 0-2 years of relevant experience.
Strong foundation in machine learning, robotics, optimization, controls, computer vision, autonomous systems, or related disciplines.
Demonstrated research experience through thesis work, academic projects, internships, or equivalent activities involving literature review, experimental design, implementation, and technical evaluation.
Strong programming skills in Python and C++.
Experience designing, training, and evaluating machine learning models.
Ability to communicate technical findings and research results effectively.
Desired:
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with perception systems for autonomous vehicles, robotics, or intelligent transportation systems.
- Knowledge of sensor fusion, scene understanding, object detection, tracking, or road structure estimation.
- Experience evaluating machine learning models in simulation and real-world environments.
- Experience authoring technical papers, patents, conference publications, or research reports.
- Familiarity with autonomous driving technology stacks and modern perception architectures.
Benefits
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Pay
Salary Range: $97,745.00 - $198,753.00 Salary Range Estimate: Annual