Mid Level Research Engineer Jobs
Mid level research engineer jobs go to engineers ready to own projects end to end, contribute to cross-functional decisions, and guide junior colleagues without constant oversight. Hiring runs across Technology & Software, Artificial Intelligence, and Science & Research, with 28% of openings offering remote or hybrid work, and employers like Scale AI, Apple, and RoboForce competing for research engineers at this level now.
Find JobsOverview
Showing 5 of 108+ Mid Level Research Engineer jobs
INTRODUCTION
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
Job details
This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $175,000 - $225,000 per year
A bit about us:
We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures.
Why join us?
- Well-funded by leading tech investors
- Cutting edge technical problems with complex solutions
- Lucrative Equity in a seed stage startup
- Competitive compensation
- Excellent benefits (healthcare, vision, dental)
Job Details
We’re looking for a Research Engineer focused on AI inference and performance optimization. This person will work close to the hardware, developing and optimizing the low-level software responsible for running modern AI models efficiently across high-performance compute platforms. This is an ideal opportunity for an engineer who enjoys working at the intersection of AI systems, GPU programming, performance engineering, and low-level optimization.
What We’re Looking For
- Strong experience with GPU programming, high-performance computing, or AI inference optimization
- Hands-on experience with CUDA, ROCm, Triton, or similar low-level compute frameworks
- Experience developing or optimizing GPU kernels
- Strong understanding of modern deep learning and LLM inference workloads with performance-critical operations including matrix multiplication and attention
- Experience benchmarking, profiling, and optimizing compute-intensive workloads
- Strong Python and/or C++ programming experience
- Understanding of GPU architecture, memory hierarchy, parallelism, and performance bottlenecks
- Experience with inference frameworks or serving infrastructure is highly valuable
- Background in ML systems, distributed systems, compilers, or performance engineering is a plus
- Ability to operate effectively in a highly technical, research-oriented startup environment
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
INTRODUCTION
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
Job details
This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary: $175,000 - $225,000 per year
A bit about us:
We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures.
Why join us?
- Well-funded by leading tech investors
- Cutting edge technical problems with complex solutions
- Lucrative Equity in a seed stage startup
- Competitive compensation
- Excellent benefits (healthcare, vision, dental)
Job Details
We’re looking for a Research Engineer focused on AI inference and performance optimization. This person will work close to the hardware, developing and optimizing the low-level software responsible for running modern AI models efficiently across high-performance compute platforms. This is an ideal opportunity for an engineer who enjoys working at the intersection of AI systems, GPU programming, performance engineering, and low-level optimization.
What We’re Looking For
- Strong experience with GPU programming, high-performance computing, or AI inference optimization
- Hands-on experience with CUDA, ROCm, Triton, or similar low-level compute frameworks
- Experience developing or optimizing GPU kernels
- Strong understanding of modern deep learning and LLM inference workloads with performance-critical operations including matrix multiplication and attention
- Experience benchmarking, profiling, and optimizing compute-intensive workloads
- Strong Python and/or C++ programming experience
- Understanding of GPU architecture, memory hierarchy, parallelism, and performance bottlenecks
- Experience with inference frameworks or serving infrastructure is highly valuable
- Background in ML systems, distributed systems, compilers, or performance engineering is a plus
- Ability to operate effectively in a highly technical, research-oriented startup environment
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
See All 108+ Mid Level Research Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Research Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software32
- Artificial Intelligence12
- Science & Research9
- Education8
- Electronics & Hardware8
Mid Level Research Engineer Jobs: Frequently Asked Questions
How do I get a mid level research engineer job?
Position yourself around ownership and outcomes, not just tasks completed. Highlight projects where you drove the research direction, made design decisions, or delivered results with limited supervision. Tailor your resume to show depth in a specialization, whether that is machine learning, materials science, or another domain, and make your individual contributions clear in collaborative projects. Concrete impact beats a long list of tools.
Which companies hire mid level research engineers?
Companies hiring mid level research engineers right now include Scale AI, Apple, and RoboForce, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of technology firms, large industrial companies, and research-intensive organizations that need engineers who can take ownership of work streams rather than requiring close direction.
Are there remote mid level research engineer jobs?
Yes, though availability varies by specialty and employer. About 28% of mid level research engineer openings are remote or hybrid as of August 2026, reflecting broad adoption of flexible arrangements in research-driven roles. Lab-dependent and hardware-focused positions are more likely to require on-site presence, while computational, data, and software research roles tend to offer the most flexibility.
How do I move up to a mid level research engineer role?
Progression from entry level into mid level research engineering comes from building depth in a specific domain and demonstrating that you can work independently. Over your first few years, focus on owning discrete pieces of larger projects, producing work that others build on, and developing the judgment to know when to move forward versus when to raise a problem. Mentorship and peer feedback accelerate this growth significantly.
Which industries hire the most mid level research engineers?
Mid Level research engineer roles concentrate in Technology & Software, Artificial Intelligence, and Science & Research, based on current listings on Migrate Mate as of August 2026. These sectors invest heavily in applied research and need engineers who can bridge foundational work and practical implementation, making mid level candidates with demonstrated project ownership especially competitive.