research engineer

Greptile

<div>
 We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We&rsquo;re reviewing close to 1B lines of code a month now for over 3,000 companies.
 
 
 
 Problems We&rsquo;re Excited About
 
 
 
 <ul>
 <li>
 Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
 </li>
 <li>
 Can we identify for each customer what types of PR feedback they do and don&rsquo;t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
 </li>
 <li>
 Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
 
 
 </li>
 </ul>
 
 Trajectory
 
 
 
 <ul>
 <li>
 7,000+ customers
 </li>
 <li>
 Raised $30M from Benchmark, YC, Paul Graham, Initialized
 
 
 </li>
 </ul>
 
 Team
 
 
 
 <ul>
 <li>
 We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science or equivalent
 </li>
 <li>
 Some research experience, ideally with ML/LMs/Agents
 </li>
 <li>
 Strong programming skills and good product intuition
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
 </li>
 <li>
 Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
 </li>
 <li>
 Stay current with the latest research in LLMs, information retrieval, and developer tooling
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Research Engineer

The University of Chicago

<div>Department
Climate Systems Engineering Research Initiatives 
About the Department
The Climate Systems Engineering initiative (CSEi) is a groundbreaking, university-wide research effort anchored in the University of Chicago Institute for Climate and Sustainable Growth. CSEi addresses the science, engineering, and policy of new technologies to reduce or reverse the harms from accumulated greenhouse gasses, including open-systems carbon removal, solar geoengineering, and local interventions to slow the melting of glaciers. The initiative spans engineering, physical and biological sciences, social sciences, humanistic approaches, behavioral science, law, policy and ethics, bringing together a collaborative group of faculty and researchers and leveraging the global network and partnerships of the University. 
Job Summary
The Climate Systems Engineering initiative at the University of Chicago seeks an experienced Research Engineer to help bridge the gaps between academic modeling and factual engineering planning of SAI and open-system CDR. Stratospheric Aerosol Injection (SAI) is a prospective climate engineering approach by which small particles, typically sulfate aerosol precursors, are delivered to the lower stratosphere by fixed-wing aircraft to temporarily offset some warming induced by increased atmospheric CO2. This role collaborates on improving technological readiness for stratospheric aerosol injection and open-system carbon dioxide removal approaches deployment. Open-system carbon dioxide removal (CDR) approaches seek to amend natural systems to enhance their capacity to remove and sequester CO2 with the aim of reducing atmospheric CO2 concentrations. Examples include (i) ocean alkalinity enhancement (OAE) in which alkalinizing materials are added to seawater to increase the ocean&rsquo;s capacity to store inorganic carbon; as well as (ii) enhanced rock weathering in which suitable minerals are applied to agricultural lands to accelerate natural geochemical carbon cycling. While these approaches have recently seen a rapid rise in academic research, industry interest and policy attention, critical knowledge gaps remain regarding their deployment and general implementation, which at this stage are still largely theoretical.
Responsibilities<ul><li>
Establishes conceptual designs for stratospheric deployment aircraft using conventional technologies from the established Original Equipment Manufacturers (OEMs).</li><li>
Evaluates new-build deployment aircraft with novel engine technologies including hybrid electrics, propeller-driven turbo shaft, reciprocating engines turbocharged by multi-stage compressors, etc.</li><li>
Conducts techno-economic analyses and evaluates cost estimates for SAI experiment scenarios. For example, assessing cost across aerosol production, delivery systems, and flight operations.
</li><li>Designs and evaluates aerosol dispersal technology.</li><li>
Manages engineering, procurement, and construction (EPC)/aerospace firm design subcontracts.</li><li>
Supports writing white paper and/or peer-reviewed publications, synthesizing pre-existing reports and available information on carbon-neutral quicklime production, as well as other relevant topics.</li><li>
Conducts techno-economic analyses and evaluates cost estimates for end-to-end large scale OAE deployments, for example, slaked lime dispersal from calcination and associated CO2 storage to material distribution.</li><li>
Designs and evaluates processes and technologies for alkalinizing material dispersal in open-ocean settings.</li><li>
Assists in designing laboratory experiments testing engineering hypotheses. Manages subcontracts with EPC firms and consultants.</li><li>
Plans own resources effectively to ensure projects are delivered on time, to standard and to budget.</li><li>
With a moderate level of guidance, researches, designs and evaluates a variety of mechanical processes and machinery.</li><li>
Performs development activities including drawing board layout, interpretation and implementation of project specifications and documentation requirements.</li><li>
Conducts engineering studies and assigns work to technical staff. Builds knowledge of the organization, processes and customers.
</li><li>Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications 
Education:<ul><li>
BS in mechanical, chemical, aerospace, or related engineering field.</li></ul> 
Experience:<ul><li>
Industry experience in aerospace, automotive, petrochemical, energy, or related industry.</li><li>
Extensive experience interfacing with OEM/EPC/subcontractors/suppliers.</li><li>
Background managing technical risks and uncertainties in early-stage systems design and conducting feasibility assessments across technical and cost dimensions.</li></ul> 
Technical Skills or Knowledge:<ul><li>
Proficiency in techno-economic analysis (TEA) methodology, including cost estimation, system-level trade-offs, and sensitivity analysis.
</li><li>Leading or contributing to subcontract management with engineering firms, OEMs, and aerospace contractors.
</li><li>Strong communication skills for translating between academic researchers, industry partners, and project leadership on technical matters.</li></ul> 
Preferred Competencies<ul><li>
Handle sensitive and confidential information with absolute discretion.</li><li>
Think strategically and translate into operational objectives.</li><li>
Strong written and verbal communication skills.</li><li>
Manage multiple projects simultaneously and meet tight deadlines.</li><li>
Excellent organizational skills and attention to detail.</li><li>
Work closely with senior University officials.</li><li>
Excellent organizational and leadership skills.</li></ul> 
Working Conditions<ul><li>
In-person, office-based role on Hyde Park campus.</li><li>
Eligible for a partially remote work schedule.</li></ul> 
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter describing why the applicant is interested in and qualified for this specific position (required)</li><li>
Three Professional References Contact Information (required)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
37.5 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$110,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Research Engineer

TRAINING RESOURCES

<div><div><div>A marine engineering company is hiring a full-time Assistant Engineer to work on the M/V INDEPENDENCE. The role involves maintaining the vessel's engineering systems and ensuring safety protocols are followed. Candidates should have a HS diploma, a USCG Third Assistant Engineer License, and three years of experience. Benefits include competitive pay and healthcare packages. This is a rotational position, requiring U.S. citizenship and eligibility for a Top Secret clearance.#J-18808-Ljbffr
</div></div><div>A marine engineering company is hiring a full-time Assistant Engineer to work on the M/V INDEPENDENCE. The role involves maintaining the vessel's engineering systems and ensuring safety protocols are followed. Candidates should have a HS diploma, a USCG Third Assistant Engineer License, and three years of experience. Benefits include competitive pay and healthcare packages. This is a rotational position, requiring U.S. citizenship and eligibility for a Top Secret clearance.#J-18808-Ljbffr
</div><div><h3 class="jobSectionHeader">Government Careers</h3>
<div>Government jobs offer stability, competitive benefits, and the chance to make a meaningful impact on your community and country.
Whether you&rsquo;re starting your career or seeking new opportunities, these roles provide pathways for growth, security, and service.
Explore positions across a wide range of fields and take the first step toward a rewarding future in public service.
</div>Show more</div></div>
 <div></div><div><div><div><ul><li><h1 class="jobSectionHeader">Marine Assistant Engineer - Research Vessel Operations</h1>
</li><li>Training Resources
</li><li>Oxnard, California 93033 United States View Map</li>
</ul><ul><li>Posted: Jul 11, 2026</li>
<li>Location: Oxnard,California</li>
</ul><ul><li>Full Time</li>
<li>Federal Government</li></ul></div></div></div><div></div>

Marine Assistant Engineer - Research Vessel Operations

New York University Abu Dhabi

<div>
 RESEARCH PROJECT TITLE: REGAINING TRUST IN ELECTRONIC CHIPS
 
 
 FACULTY NAME &amp; TITLE: OZGUR SINANOGLU, ASSISTANT PROFESSOR OF ELECTRICAL AND COMPUTER ENGINEERING
 
 
 
 Research Project Description
 
 
 
 Support for multiple capabilities and mixed technologies has increased the cost of ownership of advanced electronics chip manufacturing foundries. For instance, the cost of owning a chip foundry will be $5 billion in 2015. As a result, many of the chip design companies cannot afford owning and acquiring expensive foundries and hence, outsource their design fabrication to offshore foundries. This globalization of Integrated Circuit (IC) design flow has introduced security vulnerabilities. If a design is fabricated in a foundry that is outside the direct control of the (fabless) design house, reverse engineering, malicious circuit modification, and Intellectual Property (IP) piracy are possible. An attacker, anywhere in this design flow, can reverse engineer the functionality of design, and steal and claim ownership of the IP. An untrusted IC foundry may overbuild ICs and sell the excess parts in the gray market. Rogue elements in the foundry may insert malicious circuits (hardware Trojans) into the design without the designer's knowledge. Because of these and similar hardware-based attacks, the semiconductor industry loses $4 billion annually. This project aims at understanding the aforementioned hardware security and trust issues, surveying the existing solutions, and proposing and implementing new ones.
 
 
 
 Responsibilities Of The Position
 
 
 
 <ul>
 <li>
 Literature survey for chip design flow and latest hardware security and trust solutions
 </li>
 <li>
 Devising and implementing new design-for-trust techniques
 </li>
 <li>
 Simulations and experimentation to perform security/cost assessment
 
 
 </li>
 </ul>
 
 Essential Qualifications
 
 
 
 <ul>
 <li>
 At least a BS degree in Electrical and Computer Engineering with a good background in data structures and algorithms, logic design and programming.
 
 
 </li>
 </ul>
 
 Preferred Experience / Skills
 
 
 
 <ul>
 <li>
 Coding experience in major software projects (C/C programming language)
 </li>
 <li>
 Familiarity with the IC design flow and use of electronic design automation (EDA) tools
 </li>
 <li>
 Background in VLSI design and CAD
 </li>
 <li>
 Statement of interest in the position
 </li>
 <li>
 Transcript of degree(s)
 </li>
 <li>
 CV
 </li>
 <li>
 Two letters of recommendation
 
 
 </li>
 </ul>
 Additional Program Information
 
 
 UAE nationals are encouraged to apply
 
 
 This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
 
 
 Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.
 
 
 For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Path 1 Kawader: Research Assistant - VLSI Design-For-Trust Researcher

Abaka AI

<div>
 
 About Abaka AI
 
 
 
 Abaka AI is built on one mission: to be the world&rsquo;s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley&mdash;and teams in Paris, Singapore, and Tokyo&mdash;we support global partners with fast, reliable, and scalable data solutions.
 
 
 Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with our data engineering and research teams, and help drive the technical roadmap for model development across multiple modalities.
 
 
 As an early member of the engineering team, you will influence core decisions around model training strategy, experimentation frameworks, distributed infrastructure, and internal best practices. Your work will directly impact the performance of frontier models trained on Abaka datasets and will help elevate the technical bar for our clients and partners.
 
 
 If you thrive in high-ownership environments and want to shape the machine learning foundation of a fast-moving AI company, this role offers an opportunity to make an immediate and lasting impact.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
 </li>
 <li>
 Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
 </li>
 <li>
 Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
 </li>
 <li>
 Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
 </li>
 <li>
 Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
 </li>
 <li>
 Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
 </li>
 <li>
 Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong academic background in computer science, artificial intelligence, machine learning, or related fields. Master&rsquo;s degree or Ph.D. is preferred.
 </li>
 <li>
 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
 </li>
 <li>
 Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
 </li>
 <li>
 Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
 </li>
 <li>
 Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
 </li>
 <li>
 Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
 </li>
 <li>
 Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
 </li>
 <li>
 Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 The base salary range for this position is $175,000 - $275,000 USD annually.
 
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).
</div>

Machine Learning Engineer

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Risk Engineer 
Location: 100% Remote (Continental United States) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000 to $150,000 per annnum 
Experience: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary: 
We are seeking an AI Risk Engineer to design and implement security controls for AI and machine learning systems. The ideal candidate will have expertise in AI security, threat modeling, LLM protection, cloud security, and incident response, with experience securing AI-powered applications and infrastructure.
Key Responsibilities:<ul><li>
Design and implement security controls for AI and LLM-based applications.</li><li>
Build threat models and mitigate risks such as prompt injection, model abuse, and data exfiltration.</li><li>
Implement guardrails, monitoring, logging, and incident response for AI systems.</li><li>
Secure AI training pipelines, APIs, and multi-tenant environments.</li><li>
Collaborate with security, privacy, and compliance teams to strengthen AI security posture.</li><li>
Conduct AI security assessments and drive remediation of identified risks.</li></ul>
Required Qualifications:<ul><li>
6+ years of security engineering experience, including AI or ML systems.</li><li>
Strong knowledge of LLM security, application security, cloud security, and threat modeling.</li><li>
Experience with AI security controls, adversarial ML, prompt injection, and Python.</li></ul>
Preferred Qualifications:<ul><li>
Experience with AI red-teaming, privacy-preserving ML, or AI security research.</li><li>
Exposure to regulated industries or open-source AI security tools.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
wmYoG00cNg</div>

Risk Engineer - AI

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Technologies, Inc.
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
QGOV Software Engineer with a focus on software security. A candidate will work with established teams to research, design, and implement solutions across a variety of focus areas and technologies relevant to the requirements of our government partners.
Responsibilities and Duties:
<ul><li>Perform end-to-end software vulnerability research against software stacks to identify and mitigate vulnerabilities.
</li></ul><ul><li>Design and implement software tools to assist vulnerability research.
</li></ul><ul><li>Design and implement embedded software solutions to meet customer requirements.
</li></ul><ul><li>Assists in performing code reviews and regression tests as well as the triaging of issues to ensure the quality of code.
</li></ul><ul><li>Write technical documentation to describe software vulnerabilities and mitigations.
</li></ul>Preferred Qualifications:
&middot; Active TOP SECRET clearance
<ul><li>3+ years of work experience with programming language such as C, C++, Java, Python
</li></ul><ul><li>3+ years of embedded software engineering or related work experience.
</li></ul><ul><li>Strong understanding of calling conventions, registers usage, and memory management across x86 and ARM architectures
</li></ul><ul><li>Advanced knowledge of Linux operating system fundamentals
</li></ul><ul><li>Experience using standard Linux tools like gdb, strace, ltrace, objdump, readelf.
</li></ul><ul><li>Experience with Trace32/JTAG tools
</li></ul><ul><li>Experience with Git or other source code management systems
</li></ul><ul><li>Experience with Android platform tools, including Android Debug Bridge (ADB)
</li></ul><ul><li>Proficient user of IDA pro or Ghidra
</li></ul><ul><li>Experience in software based reverse engineering
</li></ul><ul><li>Experience in identification and remediation of security vulnerabilities
</li></ul><ul><li>Experience using Large Language Models (LLMs) to augment reverse engineering workflows and vulnerability discovery process.
</li></ul>Working Conditions:
&middot; Full-time position with 5-day on-site requirement
Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
</li></ul><div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. 
Pay range and Other Compensation &amp; Benefits :
$94,200.00 - $141,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

QGOV Security Software Engineer

Search 2791+ Research engineer jobs near you this August. New roles added regularly across leading industries. Apply today.