systems software engineer

Apple

<div>Apple Information Security is responsible for protecting Apple&rsquo;s data in transit and at rest. Apple employees and partners are always moving information from one system to another, or storing it on a server or device. Our job is to make sure Apple's information doesn't fall into the wrong hands. 
 
We are looking for a self-motivated individual with an intuition for security who is not afraid to question assumptions. The ability to be results-driven and comfortable with dynamic requirements, as well as having excellent interpersonal and time management skills, are keys to success in this position. 
 
As a member of our team, you will have the opportunity to collaborate with multi-functional partners both internal and external to Apple to build innovative security products. You will support the development of embedded systems designed to enhance Apple&rsquo;s security posture. You will be challenged to provide forward-thinking solutions to problems and to be a good teammate under deadline constraints. Show us your talent in this challenging, fun, and exciting environment. It&rsquo;s what makes us Apple. 
 
Description 
 
As an Engineer in Apple Information Security, you will: 
 
<ul><li>Be designing, developing and deploying robust, scalable services and platforms that enable secure operations across the organization.</li></ul> 
<ul><li>Stay up-to-date with emerging security research, technologies and methodologies.</li></ul> 
<ul><li>Have experience performing root cause analysis to identify, understand, and address issues.</li></ul> 
<ul><li>Support, tune, and perfect Apple&rsquo;s information security products for resiliency in hostile environments.</li></ul> 
<ul><li>Be a teammate, a leader, a student, and a mentor.</li></ul> 
<ul><li>Be challenged to work under pressure and with ambiguity.</li></ul> 
<ul><li>Be adept at shifting directions and priorities.</li></ul> 
<ul><li>Be detail-oriented and self-motivated.</li></ul> 
<ul><li>Excellent at multitasking, organizing, and prioritizing complex projects to meet deadlines.</li></ul> 
<ul><li>Cultivate your network by meeting new colleagues from across the business.</li></ul> 
<ul><li>Believe that automation, tooling and testing are critical parts of the software lifecycle.</li></ul> 

Preferred Qualifications 
 
Experience in system architecture development, including driver and firmware development. 
 
Experience with developing and shipping high quality software products on iOS/macOS/tvOS. 
 
Ability to comprehend hardware specs and schematics. 
 
Programming background, in Swift, C, C++ or Objective-C. 
 
Minimum Qualifications 
 
Strong skills in common systems programming languages. 
 
Understanding of operating system fundamentals. 
 
Experience with framework and daemon development. 
 
Experience with hardware and/or software development lifecycle processes. 
 
Experience in continuous development practices (CI/CD, rollback, canaries, feature flags, etc.). 
 
Understanding of the latest configuration management technologies, security issues, and protocols. 
 
Understanding of authentication and authorization frameworks and protocols, e.g. OAuth/OpenID/SAML. 
 
Working knowledge of network security and applied cryptography. 
 
Ability to transition seamlessly to new technologies/frameworks. 
 
Ability to develop new and innovative applications as well as maintaining existing code. 
 
Ability to thrive in a self-directed, fast-paced environment, that is highly collaborative and multi-functional. 
 
Ability to communicate effectively, both written and verbal, with technical and non-technical people across functional teams. 
 
Ability to build and maintain strong internal and external collaborative relationships. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Systems Software Engineer, Information Security

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of hardware architectures</li><li>2+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>7+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li><li>Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Experience co-designing hardware/software interfaces with architecture or RTL teams</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div>

Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. 
 
Join our Silicon Validation team to validate next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on cutting-edge, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference. 
 
Your work will span validation of the complete vertical stack&mdash;silicon, PCB, high-speed components (HBM, PCIe, chip-to-chip), inter-system connections, and system-to-system interfaces. You'll dive deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale, ensuring every component of our hardware and software comes together into products our customers rely on. 
 
Key job responsibilities 
As a Validation Engineer on our Machine Learning Acceleration team, you'll lead and own critical validation aspects across the entire product development lifecycle&mdash;from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple domains and broad scope of impact&mdash;from low-level hardware interfaces to high-level ML workloads&mdash;to deliver exceptional results. 
 
We are looking for candidates with: 
<ul><li>Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)</li><li>A solid understanding of computer architecture and chip/system validation methodologies</li><li>Experience with cloud infrastructure and CI/CD</li><li>Firmware testing and/or development (BIOS, BMC, drivers)</li><li>Domain expertise in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture</li><li>Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug</li></ul> 
A day in the life 
<ul><li>Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause.</li><li>Role models detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release</li><li>Mentors and provides direction to junior validation engineers</li><li>Executes complex test plans from RTL simulation and emulation environments through physical silicon validation</li><li>Handing complex debug including hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers</li><li>Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads</li><li>Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale</li><li>Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure</li><li>Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage</li><li>Delivering new tests to production systems in AWS data centers and manufacturing to improve fleet health</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Post-Silicon Systems Software Validation Engineer, Annapurna Labs

<div>SMX is looking for a highly motivated Senior Software/Systems Engineer to join a team of highly driven, supportive, and skilled professionals engaged in supporting critical programs across the NAVAIR community.

This is an onsite role providing support for our client at Patuxent River NAS, MD.

Essential Duties &amp; Responsibilities
<ul>
<li>Perform Software Systems Engineering for the acquisition, development and sustainment of various programs supporting aircraft and weapons systems</li>
<li>Perform the following activities as part of software development: system resource evaluation; software requirements evaluation; design evaluation; software definition, code and unit test; integration test; software delivery and independent test; software quality assurance; and software configuration monitoring</li>
<li>Conduct reviews of Contract Data Requirements List (CDRL) products</li>
<li>Participate in System Engineering Technical Reviews (SRRs, SSRs, PDRs, CDRs, TRRs, etc.) evaluating supporting work products to Government standards</li>
<li>Participate in all software life-cycle reviews from requirements analysis, preliminary design, detailed design, integration, and test</li>
<li>Review and comment on proposed system requirements, based on Government provided information</li>
<li>Verify the system requirements meet the stated program objectives</li>
<li>Support program reviews and periodic program status meetings</li>
<li>Support the Engineering Change Proposal (ECP) process</li>
<li>Support Statement of Work and CDRL development</li>
<li>Support technical evaluations of Contractor proposals</li>
<li>Make recommendations regarding human systems engineering.</li>
</ul>
Required Skills and Experience:
<ul><li>Clearance Required: Secret</li>
<li>BS or BA degree in a technical discipline
<ul><li>Allowable Substitution: An Associate's and 4 additional years of experience, or 6 additional years of experience in lieu of degree</li>
</ul></li><li>At least ten (10) years of experience in Software/Systems Engineering supporting DoD aircraft systems, DoD weapons systems, DoD mission systems or DoD support systems</li>
<li>Professional experience must consist of the design, development, integration and system testing of computer hardware and software</li>
<li>Communication and presentation skills</li>
<li>Critical thinking and reasoning skills</li>
<li>Willingness to travel as needed</li>
</ul>
Desired Qualifications:
<ul><li>Experience with DOD-STD-2167A/MIL-STD-498/IEEE 12207 is preferred</li>
<li>Experience with Systems Software, Systems-of-Systems engineering, model-based systems engineering, or systems safety &amp; reliability is desired</li>
<li>Experience in military aircraft avionic systems and software is desired</li>
</ul>
Application Deadline: 4/13/2026

#cjpost #LI-ONSITE<div> 

At SMX&reg;, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

<div></div>Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</div></div>

Senior Software/Systems Engineer (5194)

SIISCOM Global Tech

Job Title: Systems Engineer / IT Systems Engineer / Infrastructure EngineerLocation: Salalah, Dhofar, Oman Company: SIISCOM Global Tech Job Type: Full-time Salary: OMR 1,200 &ndash; OMR 1,800 per monthJoin a Growing Tech Team in SalalahAre you a skilled Systems Engineer looking for a stable, growth-focused opportunity in Oman? SIISCOM Global Tech is expanding and we&rsquo;re looking for a proactive and detail-oriented professional to manage, maintain, and improve our IT infrastructure.This role offers hands-on experience with modern systems, career development opportunities, and a supportive work environment where your expertise truly makes an impact.About the CompanySIISCOM Global Tech is a technology-driven company providing IT infrastructure, digital solutions, and business support services across Oman and the GCC. We focus on reliability, innovation, and delivering high-quality solutions to our clients.Key Responsibilities<ul><li>Install, configure, and maintain servers, systems, and IT infrastructure</li><li>Monitor system performance and ensure high availability and reliability</li><li>Manage Windows/Linux servers, virtualization, and cloud environments</li><li>Troubleshoot hardware, software, and network issues efficiently</li><li>Implement system security, backups, and disaster recovery plans</li><li>Support network infrastructure including routers, switches, and firewalls</li><li>Collaborate with IT teams to optimize system performance</li><li>Document system configurations and procedures</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in IT, Computer Science, or related field</li><li>2&ndash;5 years experience as a Systems Engineer, IT Engineer, or similar role</li><li>Strong knowledge of Windows Server, Linux, and virtualization (VMware/Hyper-V)</li><li>Experience with networking fundamentals (TCP/IP, DNS, DHCP)</li><li>Familiarity with cloud platforms (AWS, Azure, or similar) is an advantage</li><li>Good troubleshooting and problem-solving skills</li><li>Strong communication and teamwork abilities</li></ul>Why Work With Us<ul><li>Fast-growing company with long-term opportunities</li><li>Work on real-world, impactful IT systems</li><li>Opportunity to build your technical expertise</li><li>Collaborative and inclusive team culture</li></ul>How to ApplyReady to take the next step in your IT career? Apply now with your updated CV. Shortlisted candidates will be contacted promptly.Job Type: Full-timePay: RO1,200.000 - RO1,800.000 per monthWork Location: In person

Systems Engineer

Booz Allen Hamilton

<div>UAS Software Engineer
The Opportunity:
As a UAS Software Engineer specializing in AI autonomy, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned aircraft systems. You will work with advanced autonomy frameworks, including platforms such as Hivemind developed by Shield AI, to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for Army and joint clients.
You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the Army transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
What You&rsquo;ll Do:
<ul><li>Design and train machine learning models for perception, object detection, tracking, and classification.</li><li>
Develop reinforcement learning and autonomy algorithms for navigation and mission execution.</li><li>
Implement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data.</li><li>
Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.</li><li>
Develop and integrate autonomy behaviors within platforms such as Hivemind.</li><li>
Implement mission planning logic and adaptive decision-making algorithms.</li><li>
Enable collaborative autonomy between multiple UAS platforms.</li><li>
Build simulation-based training pipelines for autonomy validation.</li><li>
Deploy containerized AI models to airborne and ground edge nodes.</li><li>
Optimize inference latency and resource utilization.</li><li>
Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.</li><li>
Support flight testing and operational evaluations.</li><li>
Develop secure software pipelines aligned to DoD cybersecurity standards.</li><li>
Support RMF and ATO compliance.</li><li>
Integrate AI outputs into tactical networks and mission command systems.</li><li>
Implement CI/CD pipelines for rapid model iteration and field updates.</li></ul>
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
1+ years of experience in software engineering, focusing on AI or ML systems</li><li>
Experience with Python and C++</li><li>
Experience with deep learning frameworks such as PyTorch, TensorFlow, and ONNX</li><li>
Experience building and deploying AI models on edge hardware such as NVIDIA Jetson, GPUs, and embedded platforms</li><li>
Experience with robotics middleware such as ROS or ROS2</li><li>
Experience with computer vision or autonomous navigation systems</li><li>
Ability to obtain a Secret clearance</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Secret clearance</li><li>
Master&rsquo;s degree</li><li>
ML, AI, or Solution Architecture Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

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