research software engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
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<br>
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, AI/ML, Google Research

DeepMind

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>London, UK; Mountain View, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.</li>
<li>2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.</li>
<li>1 year of experience with machine learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with large-scale system design, distributed systems, or performance engineering.</li>
<li>A good understanding of engineering best practices, codebase design, and testing.</li>
<li>Familiarity with how modern large language models are trained.</li>
<li>Ability to collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p><p>
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.</p>
<p>
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.</p><div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design.</li>
<li>Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research.</li>
<li>Make systematic improvements to technical workflows and tooling used across pretraining.</li>
<li>Apply engineering expertise to help researchers navigate technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline.</li>
<li>Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Gemini Large Scale Pretraining, DeepMind

The Amatriot Group

<div><p><b>Location:</b> Linthicum Heights, MD (full-time on-site)<br>
<b>Security Clearance:</b> Active TS/SCI [Required]<br>
<b>Job Type: </b>Full-Time</p>
<p><b>Target Salary Range*:</b><b> </b>$120,000 - $150,000</p>
<ul><li>This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary</li></ul>
<p></p><h2 class="jobSectionHeader"><b>Position Overview</b></h2>
<p>The Mobile Malware Engineer analyzes, reverse engineers, and characterizes malicious software targeting Android and iOS platforms in support of a federal government customer. Using expertise in malware reverse engineering and analysis, this role evaluates complex malicious code through tools including disassemblers, debuggers, hex editors, unpackers, virtual machines, and network sniffers. The engineer investigates malicious code to determine attack vectors, payloads, and the extent of damage and data exfiltration, delivering actionable intelligence products that directly support national security missions.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>Mobile Malware Analysis</b></h3>
<ul><li>Perform static and dynamic analysis of mobile malware on Android and iOS platforms.</li>
<li>Reverse engineer ARM/ARM64 binaries.</li>
<li>Unpack APK and IPA files, bypass runtime protections, and conduct reverse engineering of known and suspected malware files.</li>
<li>Identify vulnerabilities in binaries and analyze shellcode.</li>
<li>Investigate attack vectors, payloads, and the extent of data exfiltration.</li>
</ul><h3 class="jobSectionHeader"><b>Threat Detection and Research</b></h3>
<ul><li>Identify command-and-control (C2) infrastructure, persistence mechanisms, and indicators of compromise (IOCs).</li>
<li>Develop custom tooling, automation scripts, and YARA detection signatures.</li>
<li>Build network- and host-based detection signatures and recommend heuristic or anomaly-based detection methods.</li>
<li>Perform ongoing research into malicious software, emerging vulnerabilities, and exploitation tactics.</li>
</ul><h3 class="jobSectionHeader"><b>Reporting and Collaboration</b></h3>
<ul><li>Produce technical reports that include MITRE ATT&amp;CK for Mobile mappings, remediation recommendations, and detailed documentation of malware behavior and command-and-control infrastructure.</li>
<li>Recommend preventative or defensive actions based on analysis findings.</li>
<li>Collaborate with forensics, vulnerability research, and cyber operations teams.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor's degree and 8 years of experience, or Master's degree and 6 years of experience.</li>
<li>Degree in Cybersecurity, Computer Science, Software Engineering, Information Technology, Information Systems, or a related field is highly desired.</li>
<li>An additional four years of experience may be substituted in lieu of a Bachelor's degree.</li>
</ul><h3 class="jobSectionHeader"><b>Experience</b></h3>
<ul><li>Proficiency in ARM/ARM64 assembly and low-level binary analysis.</li>
<li>Strong knowledge of Android and iOS internals, including APK/IPA structure, ART runtime, and Mach-O binaries.</li>
<li>Hands-on experience with Ghidra, IDA Pro, Jadx, Frida, MobSF, and Corellium.</li>
<li>Experience scripting in Python.</li>
<li>Familiarity with Java, Kotlin, or Swift.</li>
</ul><h3 class="jobSectionHeader"><b>Clearance</b></h3>
<ul><li>Active Top Secret clearance with SCI eligibility required.</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<h3 class="jobSectionHeader"><b>Experience</b></h3>
<ul><li>Experience with CNO toolchains or offensive mobile capability development.</li>
<li>Familiarity with nation-state APT campaigns targeting mobile endpoints.</li>
<li>Knowledge of MDM/EMM environments and mobile forensics tools, including Cellebrite and Oxygen Forensic.</li>
<li>Published research, CVEs, or open-source contributions in mobile security.</li>
</ul><h3 class="jobSectionHeader"><b>Certifications</b></h3>
<ul><li>GREM</li>
<li>GMOB</li>
<li>eMAPT</li>
<li>OSED</li>
<li>OSCP</li>
<li>CISSP</li>
<li>CompTIA SecurityX</li></ul></div>

Mobile Malware Engineer

University of California Berkeley

Associate Development Engineer (4758C) - Job #84710 - EECS About Berkeley
<br><br>
At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
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As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.
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We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan .
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At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley.
<br>Departmental Overview
<br><br>
The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data Science, and Society (CDSS) is the largest academic department on the Berkeley campus, consisting of over 130 faculty, active emeriti, professors-in-residence, and adjunct professors, 3600+ undergraduates in both Engineering and CDSS, 750+ graduate students, and 60+ staff. EECS programs are consistently ranked in the top three by many measures, including U.S. News & World Report's national and global ranking. Annual operating budget (not including expenditures related to research. faculty start-ups, and student fellowships) for EECS is $40+ million.
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The Department is actively engaged in teaching and research in the disciplines of Artificial Intelligence, Computational Biology, Databases, Graphics, Hardware / Architecture, Human-Computer Interaction, Operating Systems / Networking, Programming Systems / Software, Scientific Computing, Theory, Vision (in Computer Science) as well as Biosystems, Communication/Networking, Communications / Physical Layer, Control, Design, Modeling, and Analysis, Electromagnetics/Antennas, Integrated Circuits, Optics, Physical Electronics Devices, Physical Electronics/MEMS, Optoelectronics, Energy, Robotics, Signal Processing for Image & Video, Signal Processing for Speech & Audio (in Electrical Engineering). Computer Science operates research and instructional laboratories in Sutardja Dai Hall, and other off-campus sites, and Electrical Engineering operates similar facilities in Cory Hall, Sutardja Dai Hall, and other off-campus sites. EECS also has a significant technical staff support structure to provide support for research and instructional laboratories and fabrication facilities.
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This position is ideal for a mid- to senior-career engineer with substantial hands-on experience in electronics, instrumentation, and lab systems support, capable of operating independently across multiple lab spaces. The engineer will serve as a primary technical resource, ensuring that instructional labs are safe, reliable, and fully operational each day.
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The Associate Development Engineer provides professional engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Reporting to the Senior Development Engineer, this role supports a broad range of activities spanning electronics, controls, robotics, autonomous systems, and RF technologies.
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Key responsibilities include designing, integrating, setting up, testing, and maintaining instructional and research-related equipment-ranging from electronic circuits, sensors, and RF systems to robotic and drone infrastructure, embedded platforms, and audio-visual technology. The position also provides guidance in developing experimental setups and maintaining lab spaces such as maker or prototyping areas.
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This role requires strong hands-on ability in building and integrating systems-assembling testbeds, configuring embedded and RF hardware, developing control and communication software, and troubleshooting electromechanical and networked systems. Proficiency in electronics, RF instrumentation, microcontroller and embedded development tools, CAD design, and software integration (e.g., Python, ROS, or MATLAB/Simulink) is expected. The Associate Development Engineer collaborates closely with faculty, students, and staff to ensure the smooth operation of instructional labs and to enhance hands-on learning and experimentation in robotics, controls, RF, and autonomous systems.
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Application Review Date
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<b>The First Review Date for this job is:</b> June 26, 2026 - Open Until Filled
<br>Responsibilities
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Provides full range of professional engineering services to research projects; meets with research staff in Provide high-level engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Collaborates with PI in the design, setup, testing, and maintenance of experimental systems and equipment used in labs covering basic electronics, controls, robotics, RF, and autonomous systems. Develops and integrates advanced technologies or methodologies (e.g., drone infrastructure, networked sensors, AI-enabled control, and communication systems) into instructional and research setups, ensuring safety, reliability, and compatibility.
<br>Supports and maintains electronic and audiovisual systems used in instructional and research environments, ensuring proper integration with lab instrumentation, computing, and control systems.
<br>Collaborate with faculty, students, and staff during the planning, design, and implementation phases of lab projects, ensuring alignment with instructional goals and learning outcomes. Develop and optimize firmware/software for microprocessors and embedded systems used in lab experiments, utilizing appropriate development tools and methodologies. Supports hardware-software integration for robotics, drones, and RF-based systems, ensuring interoperability across platforms. Facilitates collaboration across diverse disciplines (e.g., engineering, data science, biology, medicine) to address multifaceted or interdisciplinary projects.
<br>Provide technical guidance and training to students, faculty, and lab assistants on equipment operation, safety protocols, and best practices in experimental design and execution. Collaborate with the Senior Development Engineer and other stakeholders to assess and enhance lab infrastructure, equipment, and processes to support evolving educational needs and research initiatives. Assist in configuring and maintaining lab environments for hands-on experimentation in embedded systems, robotics, and wireless communication.
<br>Document project progress, outcomes, and technical specifications to maintain comprehensive records and facilitate project evaluation and replication. Monitor and evaluate lab equipment performance, identify issues, and implement timely solutions to ensure optimal functionality and reliability. Maintain documentation for integrated hardware-software systems, including electronics, communication links, and control interfaces.
<br>Participate in continuous improvement initiatives to enhance lab capabilities, efficiency, and effectiveness, contributing to the department's academic and research objectives. Stay updated on emerging technologies, trends, and advancements in engineering education and instructional methodologies relevant to the role. Evaluate new technologies in robotics, autonomous systems, and RF instrumentation for potential lab integration. Required Qualifications
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Bachelor's degree in a related area and/or equivalent experience/training.
<br>Proven experience in providing engineering and technical support within educational or research environments.
<br>Strong proficiency in using development tools for microprocessors (e.g., ARM, AVR, PIC, Intel), CAD tools (e.g., AutoCAD, SolidWorks), and other technologies relevant to electrical engineering, computer science, and autonomous or RF systems.
<br>Excellent problem-solving skills and ability to analyze complex technical issues, propose solutions, and implement effective resolutions.
<br>Effective communication and collaboration skills, with the ability to work closely with diverse stakeholders, including faculty, students, and technical staff.
<br>Commitment to fostering a positive and supportive learning environment, promoting hands-on learning and experiential education.
<br>Prior experience with instructional labs covering electronics, controls, robotics, RF systems, or related disciplines is highly desirable.
<br>Ability to work collaboratively; identify challenges and barriers, and recommend resolutions.
<br>7+ years of experience in providing engineering and technical support within educational or research environments.
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Salary & Benefits
<br><br>
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
<br><br>
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
<br><br>
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $88,900 to $126,400 yearly; the full salary range for this classification is $88,900 to $163,900 yearly. This is a 100% FTE career position eligible for full benefits. This position is FLSA Exempt and paid monthly.
<br>Conviction History Background
<br><br>
This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
<br>Misconduct Disclosure
<br><br>
As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
<br><br>
"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
<br><br>
UC Sexual Violence and Sexual Harassment Policy
<br>UC Anti-Discrimination Policy
<br>Abusive Conduct in the Workplace
<br>Equal Employment Opportunity
<br><br>
The University of California 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, age, protected veteran status, or other protected status under state or federal law.
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To apply, visit https://careerspub.universityofcalifornia.edu/psc/ucb/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=84710&PostingSeq=1&SiteId=21&languageCd=ENG&FOCUS=Applicant
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je-04fdb2fe98524bde8e37f4cb9d46ae92

Associate Development Engineer (4758C) - Job #84710 - EECS

SINAN HEAVY LIFT LLC

<p>Job Title: Electro-Mechanical Technician / Engineer</p><p>​Job Overview</p><p>​We are seeking a highly skilled and detail-oriented Electro-Mechanical Technician / Engineer to join our dynamic team. In this role, you will be integral to the entire lifecycle of our specialized equipment and systems&mdash;from initial research and design development to custom manufacturing, assembly, and long-term technical support. The ideal candidate possesses a strong blend of electrical and mechanical expertise, a hands-on approach to fabrication, and excellent problem-solving skills for system analysis and calibration.</p><p>​Key Responsibilities</p><p>​1. Research, Design &amp; Development</p><p>​Assist in the research and design development of new electro-mechanical systems and specialized tools.</p><p>​Interpret, update, and work from complex engineering blueprints, schematics, and technical drawings.</p><p>​2. Manufacturing &amp; Custom Fabrication</p><p>​Assemble, wire, and build custom electro-mechanical machinery, including winch drums (carbon steel and non-magnetic steel) and specialized tools.</p><p>​Perform precise fabrication, machining, and mechanical assembly tasks using standard workshop tools and equipment.</p><p>​Ensure all manufactured and custom-built units adhere strictly to engineering specifications and quality standards.</p><p>​3. Calibration, System Analysis &amp; Testing</p><p>​Conduct rigorous calibration and system analysis on electro-mechanical equipment to ensure precise operational performance.</p><p>​Troubleshoot, diagnose, and resolve electrical faults, mechanical misalignments, or software/control interface issues during testing.</p><p>​4. Restoration, Modification &amp; Maintenance</p><p>​Execute restoration, modification, and reconfigurations on existing or legacy machinery to upgrade performance or meet updated client requirements.</p><p>​Perform routine preventative maintenance and overhauls on workshop tools and equipment.</p><p>​5. Technical Support &amp; Customer Service</p><p>​Provide high-level technical support, troubleshooting advice, and documentation to internal teams and external clients.</p><p>​Document technical procedures, calibration logs, and test results accurately.</p><p>​Qualifications &amp; Skills</p><p>​Education: Associate degree, diploma, or Bachelor&rsquo;s degree in Electro-Mechanical Engineering, Mechatronics, Mechanical/Electrical Engineering, or a highly related technical field.</p><p>​Experience: 2&ndash;5 years of hands-on experience in electro-mechanical assembly, heavy machinery manufacturing, or industrial equipment maintenance (experience with oilfield/wireline equipment or heavy winches is a significant advantage).</p><p>​Technical Skills:</p><p>​Strong proficiency in reading electrical schematics, wiring diagrams, and mechanical blueprints.</p><p>​Hands-on experience with machining, metal fabrication, and welding (specifically working with carbon steel and non-magnetic steel).</p><p>​Proficiency with diagnostic tools, multimeters, calibration software, and system analysis equipment.</p><p>​Soft Skills: Exceptional problem-solving capabilities, strong attention to detail, and the ability to work collaboratively in a fast-paced production environment.</p><p>Work Location: In person</p>

ELECTRO MECHANICAL ENGINEERS

University of Oklahoma

<div></div><div><div><b>Job no:</b> 493607<br>
<b>Work type:</b> Professional<br>
<b>Location:</b> Norman<br>
<b>Categories:</b> Technology/Research<br>
</div>
<div><p><b>Pay Range: </b>Commensurate with experience</p>
<p><b>
Benefits Eligible: </b>Yes</p>
<p><b>
Work Schedule: </b>Monday &ndash; Friday, 8:00 a.m. to 5:00 p.m.</p>
<p><b>
Travel: </b>May be required</p>
<p><b>
For Best Consideration Date: </b>08/10/2026</p>
<div>
<div><div><div><p><b>Position Introduction:</b></p>
<p>
The <b>Advanced Radar Research Center (ARRC)</b> is seeking experienced technical software engineers.
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This position serves as a Senior Engineer in the design and implementation of software architecture for radar &amp; equipment monitoring and control.
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A qualified candidate should have a Bachelor's in an engineering discipline and at least 60 months of software development experience, including C++, Python and familiarity with Linux.
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This position will be expected to:</p>
<ul>
<li>Architect and implement frameworks, APIs, and control layers to enable system functionality.</li>
<li>Develop, maintain, and optimize Linux daemons and services for system critical high-performance, multi-threaded applications.</li>
<li>Code, debug, and test system software.</li>
<li>Collaborate closely with functional teams including EE, FPGA, and platforms teams to create processing, control, and validation solutions.</li>
<li>Troubleshoot and resolve low-level OS issues, networking bottlenecks, and hardware-software integration challenges</li>
<li>Provide consulting to system-level designs, including costing, lead times, and alternative solutions.</li>
<li>May lead a functional team.</li>
<li>Performs various duties as needed to successfully fulfill the functions of the position.</li>
</ul>
<p>View full job description</p></div></div><div><br>
<div>
<p><b>Required Education and Experience:</b></p>
<ul>
<li>Bachelor's degree.</li>
<li>60 months of embedded software experience.</li>
</ul>
<p><b>Equivalency/Substitution:</b> Will accept 48 months of related experience in lieu of the Bachelor's degree for a total of 108 months of related experience.</p>
<p><b>
Department Preferences:</b></p>
<ul>
<li>Possess a current DoD security clearance or has the ability to obtain and maintain security clearance</li>
</ul>
</div></div><br>
</div></div><p><b>Hiring Contingent Upon a Background Check:</b> Yes</p>
</div>
<p><b>Advertised:</b> 30 Jul 2026 Central Daylight Time<br>
<b>Applications close:</b> 28 Oct 2026 Central Daylight Time</p></div><p></p>

Sr Software Engineer

RIKSOF (Private) Limited

<p>RIKSOF is an award-winning agency building AI-enabled solutions for mobile, web and IoT projects.</p><p>We are currently on the lookout for highly motivated <b>QA &amp; Test Automation Engineer</b> with <b>3</b> years of post-graduate experience. In this role, you should be able to work in a challenging environment with seniors.</p><p>You should have excellent personal, organizational and problem-solving skills.Successful candidates will have the opportunity to work on high visibility and technically complex projects.</p><ul><li>Ensuring high quality in the software we build through the use of test automation.</li><li>Research and implementation of the latest trends and technologies in Agile development.</li><li>Programming of system and UI test cases.</li><li>Performance and Security Testing</li><li>Writing clear, concise and comprehensive test plans and test cases</li><li>Ensuring project deadlines are met</li></ul><p><b>Desired Languages: </b>Javascript or Typescript</p><p><b>Requirements:</b></p><ul><li>Proven work experience in software quality assurance</li><li>Knowledge about puppeteer and jenkins.</li><li>Strong knowledge of software QA methodologies, tools and processes</li><li>BS/MS degree in Computer Science</li></ul><p><b>Compensation &amp; Benefits</b></p><ul><li>Fuel allowance.</li><li>18 annual holidays.</li><li>Employee Old-Age Benefit (EOBI).</li><li>Casual, friendly environment.</li></ul><p>Pay: Up to Rs100,000.00 per month</p><p>Work Location: In person</p>

QA & Test Automation Engineer

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