scientific software engineer

Client of Orbis Group

As a hands on engineering leader, you d be responsible for building products 0-1 from idea through to production.
Staff Software Engineer Responsibilities
<ul>
<li>Build high-quality, production-ready code for enterprise customers tackling complex AI problems</li>
<li>Lead the design and building of AI-driven systems with emerging technologies</li>
<li>Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions</li>
</ul>
Staff Software Engineer Requirements
<ul>
<li>5+ years of experience as an engineer ideally with exposure to various technologies such as Python, Java, Typescript, React etc.</li>
<li>Compsci background strong data structures and algorithms</li>
<li>Experience working in a high performing engineering culture or founding experience</li>
<li>Some experience or interest with AI LLMs, RAG etc.</li>
</ul>
If you d like to work with an extremely talented team of engineers as they solve fascinating problems, at scale, using various tools, please do not hesitate to apply!

Staff Software Engineer Gen AI

SIGMA DEFENSE

<div>Sigma Defense is seeking a Software Engineer who thrives at the intersection of hardware and software. Our team develops and integrates systems that communicate directly with specialized hardware, using modern software frameworks and tools to deliver reliable, mission-critical solutions.
The hired candidate will work in a small, highly technical group where it is common to shift between projects, technologies, and environments on short notice. If you like variety, solving unique technical challenges, and seeing your code directly interact with real equipment, apply today!
Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems 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, or protected veteran status and will not be discriminated against on the basis of disability.
Requirements<ul>
<li>
2+ years of experience.</li>
<li>Experience with TAK (Team Awareness Kit) integration or plugin development.</li>
<li>Familiarity with Docker, TimescaleDB/PostgreSQL, or system telemetry tools.</li>
<li>Knowledge of CMake, Qt, or cross-platform build environments.</li>
<li>Background in DoD, aerospace, or other mission-critical systems.</li>
<li>Proficiency in Python and C++ development.</li>
<li>Familiarity with protobuf/gRPC, TAK ecosystem, or other data exchange frameworks.</li>
<li>Experience working directly with hardware devices, sensors, SDRs, or embedded systems.</li>
<li>Basic knowledge of network protocols (TCP/UDP, sockets, serial communication).</li>
<li>Comfortable developing and debugging on Linux (Red Hat preferred).</li>
<li>Experience building web-based interfaces (Angular, FastAPI, Flask, or similar).</li>
<li>Solid understanding of Git/GitHub workflows and collaborative development practices.</li>
<li>Strong problem-solving ability and flexibility to adapt to new projects and technologies quickly.</li>
<li>Excellent communication and documentation habits.</li>
<li>Must be a U.S. Citizen.</li>
</ul>
Education Requirements:<ul><li>
Bachelor's degree from an accredited college or university in Computer Engineering, Computer Science, Software Engineering, or related field of study.</li></ul>
Personnel Clearance Level:<ul>
<li>
Candidate must possess or have the ability to obtain an active TS/SCI security clearance or higher.</li>
<li>Clearance will be sponsored for the right candidate.</li>
</ul>
Essential Job Duties (not all-inclusive):<ul>
<li>
Develop, test, and maintain software that interfaces with embedded and networked hardware systems.</li>
<li>Work in Python and C++, often using gRPC and protobufs for cross-platform communication.</li>
<li>Build and deploy internal web applications and dashboards (Angular, FastAPI, or similar).</li>
<li>Collaborate using GitHub for source control, reviews, and project management.</li>
<li>Contribute to multiple active projects &mdash; sometimes switching focus quickly as priorities shift.</li>
<li>Travel to test ranges or field sites several times per year (approximately 7 trips, 1&ndash;2 weeks each),</li>
</ul>
Salary Range: $65,000 - $75,000 annually.
Benefits<ul><li>
Dental and Vision Insurance</li></ul><ul>
<li>Medical Insurance to Include HSA, FSA, and DFSA Plans</li>
<li>Life and AD&amp;D coverage</li>
<li>Employee Assistance Program (EAP)</li>
<li>401(k) Plan with Company Matching Contributions</li>
<li>160 Hours of Paid Time Off (PTO)
</li><li>12 (Floating) Holidays</li>
<li>Educational Assistance</li>
<li>Highly Competitive Salary</li>
<li>Flexibility</li></ul></div>

1584 - Software Engineer

Apple

<div>Join Apple&rsquo;s Data Management Team and Shape the Future of Reliable Data in the Manufacturing Space! 
 
At Apple, we believe that great decisions start with great data. Our Data Quality team within Operations is looking for a Machine Learning Engineer with Software Engineering background to help ensure the integrity, accuracy, and reliability of mission-critical data. In this role, you will design and build scalable ML-driven solutions for data validation, anomaly detection, and quality monitoring-helping Apple&rsquo;s global operations run with precision and confidence. If you're passionate about applying cutting-edge machine learning to solve real-world data challenges at scale, come join us in pushing the boundaries of what&rsquo;s possible. 
 
Description 
At Apple, we rely on high-quality data to drive critical decisions across our global operations. We are looking for a Machine Learning Engineer with software engineering skills to develop and deploy ML-driven data validation solutions that ensure data integrity. In this role, you will build scalable anomaly detection systems, work on Gen AI projects, collaborate with data engineering teams to enhance data quality frameworks, and drive innovations in MLOps and data monitoring. 
 
<ul><li>Develop ML-based data validation and monitoring solutions, focusing on anomaly detection and explainability.</li></ul> 
<ul><li>Analyze large datasets to detect data drift, integrity issues, and emerging quality risks.</li></ul> 
<ul><li>Apply the full ML lifecycle, from exploratory data analysis (EDA) and feature engineering to model selection, training, deployment, and monitoring.</li></ul> 
<ul><li>Experiment with different methodologies to improve model accuracy and reliability.</li></ul> 
<ul><li>Collaborate with data engineering teams to design frameworks for detecting missing, inconsistent, or duplicate data.</li></ul> 
<ul><li>Investigate root causes of data quality issues and propose scalable, automated solutions.</li></ul> 
<ul><li>Stay up to date with the latest advancements in data science, MLOps, and data engineering best practices.</li></ul> 

Preferred Qualifications 
Experience with MLOps tools (MLflow, Kubeflow) for managing data quality models. 
 
Exposure to big data frameworks (Spark, Kafka) for real-time data validation. 
 
Familiarity with CI/CD for data pipelines and model deployments. 
 
Strong problem-solving skills and ability to diagnose complex data issues. 
 
Experience working with large-scale structured and unstructured data. 
 
Familiarity with data engineering concepts, including ETL pipelines, batch/stream processing. 
 
Minimum Qualifications 
3+ industry experience in building ML solutions and collaborating with software teams. 
 
Strong experience in machine learning for anomaly detection, data validation, or data quality improvement. 
 
Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, etc.). 
 
Hands-on experience with SQL and databases (PostgreSQL, Snowflake, MySQL, etc.). 
 
Strong knowledge of statistical methods (PCA, exponential smoothing, and etc.) for detecting anomalies, drift, and inconsistencies. 
 
Experience with version control (Git) and software development best practices.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Machine Learning Software Engineer

Dematic

<div>Dematic seeks an AGV Onboard Software Engineer to lead software and hardware integration for AGV projects on the Flexible Automation Team. Responsibilities include developing, configuring, testing, and deploying software to control physical AGV movement and mechanism actuations of various AGVs. Internally, this person will collaborate with other software engineers, system engineers, mechatronic engineers/technicians and project managers. Externally, there will be collaboration with Customer engineers, technicians and operators to test vehicle software and associated hardware.
<h1 class="jobSectionHeader">We offer:
</h1><ul><li>Career Development
</li><li>Competitive Compensation and Benefits
</li><li>Pay Transparency
</li><li>Global Opportunities</li></ul> 
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
The base pay range for this role is estimated to be $75,000 - $115,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
<h1 class="jobSectionHeader">Tasks and Qualifications:
</h1>What you will do in this role:
<ul><li>Analyze Customer requirements
</li><li>Develop technical specifications and test plans
</li><li>Write clean, maintainable code in C, C++, FBD, and structured text programming
</li><li>Perform code reviews to ensure code quality
</li><li>Use Python, Microsoft Access, Git
</li><li>Test vehicle hardware and related software/configurations (sensors, safety PLC, encoders, cameras)
</li><li>Read electrical schematics with ease and demonstrate the ability to find electrical faults
</li><li>Investigate customer inquiries related to potential software issues
</li><li>Expand technical knowledge/skills through in-house and/or external courses, reading manuals, researching new technologies/methodologies, and accessing new applications
</li><li>Other Tasks as assigned by manager
</li></ul>What we are looking for:
<ul><li>1-3 years of experience in a related role
</li><li>Knowledge of material handling hardware/software: e.g., AGV, AMR, Robotic cells, WMS, traffic management, material flows
</li><li>Knowledge of server hardware and virtualization
</li><li>Experience with PLCs and I/O modules
</li><li>Ability to work in high-stress environments
</li><li>Perseverance in finding solutions, while knowing when to seek help
</li><li>Pragmatic approach to problem-solving
</li><li>Bachelor of Science degree in Electrical/Electronics/Mechatronics/IoT Engineering Technology or Engineering, or related field
</li></ul>#LI-DP1</div>

AGV Onboard Software Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <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.
 </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 selection making), ML infrastructure, or in a related ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or a related technical field.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience in developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices among 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 Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </li>
 </ul>
 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 III, AI/ML

The people here at Apple don&rsquo;t just build products- they craft the kind of wonder that has revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it! A job at Apple is unlike any other you&rsquo;ve had. You will be challenged. You will be inspired. And you&rsquo;ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! At Apple, we work every day to create products that enrich people&rsquo;s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. 
 
Description 
As a Software Engineer in Ads engineering team, you will play a meaningful role in crafting and developing the backend systems for applications powered by machine learning and generative AI. You will focus on building robust, scalable, and user-facing features that bring the power of AI to our customers. You will work with a team of engineers, researchers, and product managers to tackle meaningful problems in a fast-paced, collaborative environment.&quot;,&quot;responsibilities&quot;:&quot;Design and implement robust, scalable, and efficient backend services for our AI-powered products and features. 
 
Integrate and utilize modern machine learning and generative AI models to build application features. 
 
Partner with applied scientists and ML engineers to understand model capabilities and effectively integrate them into production applications. 
 
Focus on the application layer, building features and APIs that make powerful AI technologies accessible to users. 
 
Write clean, maintainable, and well-tested code. 
 
Participate in code reviews and contribute to a high standard of code quality. 
 
Work multi-functionally with teams across the organization, including product, design, and operations. 
 
Preferred Qualifications 
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). 
 
Experience with big data technologies such as Spark, Hadoop, or Kafka. 
 
A portfolio of projects demonstrating your expertise in building applications with intelligent features. 
 
Minimum Qualifications 
3 to 8 years of professional experience in software development. 
 
Strong proficiency in backend development with languages such as Python or Java 
 
Proven experience in designing, building, and maintaining scalable, high-performance, and reliable distributed systems and APIs. 
 
Experience building applications that consume and are powered by machine learning models, services, and APIs. 
 
Familiarity with the concepts of Generative AI and experience integrating AI/ML models into larger systems. 
 
Excellent problem-solving skills and the ability to work with ambiguity. 
 
Strong communication and collaboration skills. 
&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null

Software Engineer - GenAI

Magic Leap

<div>A new paradigm of computing

Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.

Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the mixed reality (XR) ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.

The opportunity

Leading an engineering team of four within the Perception group, the manager will be responsible for the systems that collect essential real-world sensor data, including ground truth, from our XR devices. This data is vital for the development and validation of a variety of perception features like head tracking, eye tracking, depth estimation, object tracking, etc. You'll bridge leadership and hands-on technical contribution&mdash;defining technical strategy, setting roadmaps with internal stakeholders, architecting data collection tooling, and writing production code while building and mentoring a cross-disciplinary engineering team. You are responsible for two data collection labs with equipment such as OptiTrack, LiDARs, and robot arms in different geographic regions.

This position requires a seasoned, versatile engineer who can operate autonomously, create opportunity, balance strategic planning with tactical execution, and grow talent while driving technical excellence.

Important: You will lead a distributed team across Europe and the US so you need to be flexible in working across multiple time zones. This is a hybrid role but requires close proximity to our Sunnyvale, CA office. Occasional travel is required.

What you'll do
<ul>
<li>Serve as the primary technical point of contact for internal clients, proactively aligning data delivery roadmaps with business needs</li>
<li>Design, develop, and maintain hardware and software solutions for ground truth data collection in collaboration with cross-functional stakeholders</li>
<li>Individually develop and maintain production software in Python and C++ as the lead developer</li>
<li>Maintain strategic oversight of vendor landscape for hardware and software tooling, evaluating and selecting optimal solutions</li>
<li>Orchestrate data collection operations with internal teams and external data collectors</li>
<li>Set technical direction and priorities for a cross-disciplinary computer vision team</li>
<li>Mentor and coach team members with technical depth and empathy, supporting their professional growth and career development</li>
</ul>
The experience you bring
<ul>
<li>Bachelor's / Master's degree in Computer Science, Robotics, or equivalent experience</li>
<li>7+ years of professional software development experience in Python and C++</li>
<li>3+ years of experience in geometric computer vision</li>
<li>3+ years of technical leadership experience managing and mentoring engineering teams</li>
<li>Proven track record in system architecture involving hardware and software</li>
<li>Proven track record managing cross-functional projects with multiple stakeholders</li>
<li>Demonstrated ability to operate with high autonomy in ambiguous environments</li>
</ul>
It's exciting if you also have
<ul>
<li>Experience with camera calibration, bundle adjustment, and hand-eye calibration techniques</li>
<li>Hands-on experience with OptiTrack or similar motion capture systems</li>
<li>Background in XR/AR/VR development</li>
<li>Experience integrating and calibrating Lidar sensors</li>
<li>Strong rapid prototyping skills for hardware and software systems</li>
</ul>
Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines

Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.

All legitimate Magic Leap email communications will end with &quot;@magicleap.com&quot;. Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.

Accommodations

If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. 


#LI-CP

#LI-HYBRID</div>

Engineering Manager, Computer Vision Data and Ground Truth Tools

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